Overview

Dataset statistics

Number of variables114
Number of observations6708
Missing cells571706
Missing cells (%)74.8%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory5.8 MiB
Average record size in memory912.0 B

Variable types

Text81
Categorical29
DateTime2
Numeric2

Alerts

Violation Memo - 21 has constant value ""Constant
Violation Description - 22 has constant value ""Constant
Violation Points - 22 has constant value ""Constant
Violation Detail - 22 has constant value ""Constant
Violation Memo - 22 has constant value ""Constant
Violation Description - 23 has constant value ""Constant
Violation Points - 23 has constant value ""Constant
Violation Detail - 23 has constant value ""Constant
Violation Memo - 23 has constant value ""Constant
Violation Description - 24 has constant value ""Constant
Violation Points - 24 has constant value ""Constant
Violation Detail - 24 has constant value ""Constant
Violation Memo - 24 has constant value ""Constant
Violation Description - 25 has constant value ""Constant
Violation Points - 25 has constant value ""Constant
Violation Detail - 25 has constant value ""Constant
Violation Memo - 25 has constant value ""Constant
Dataset has 1 (< 0.1%) duplicate rowsDuplicates
Inspection Score is highly overall correlated with Violation Points - 20 and 1 other fieldsHigh correlation
Inspection Type is highly overall correlated with Violation Points - 21High correlation
Inspection Year is highly overall correlated with Violation Points - 19 and 1 other fieldsHigh correlation
Street Direction is highly overall correlated with Violation Points - 17 and 1 other fieldsHigh correlation
Street Number is highly overall correlated with Violation Points - 20 and 1 other fieldsHigh correlation
Street Type is highly overall correlated with Violation Points - 21High correlation
Violation Points - 1 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 10 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 11 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 12 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 13 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 14 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 15 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 16 is highly overall correlated with Violation Points - 20 and 1 other fieldsHigh correlation
Violation Points - 17 is highly overall correlated with Street Direction and 1 other fieldsHigh correlation
Violation Points - 18 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 19 is highly overall correlated with Inspection Year and 4 other fieldsHigh correlation
Violation Points - 2 is highly overall correlated with Violation Points - 19 and 1 other fieldsHigh correlation
Violation Points - 20 is highly overall correlated with Inspection Score and 5 other fieldsHigh correlation
Violation Points - 21 is highly overall correlated with Inspection Score and 24 other fieldsHigh correlation
Violation Points - 3 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 4 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 5 is highly overall correlated with Violation Points - 19 and 1 other fieldsHigh correlation
Violation Points - 6 is highly overall correlated with Violation Points - 21High correlation
Violation Points - 7 is highly overall correlated with Violation Points - 20 and 1 other fieldsHigh correlation
Violation Points - 8 is highly overall correlated with Violation Points - 19 and 1 other fieldsHigh correlation
Violation Points - 9 is highly overall correlated with Violation Points - 21High correlation
Inspection Type is highly imbalanced (93.4%)Imbalance
Street Direction has 4521 (67.4%) missing valuesMissing
Street Type has 140 (2.1%) missing valuesMissing
Street Unit has 4417 (65.8%) missing valuesMissing
Violation Description - 1 has 919 (13.7%) missing valuesMissing
Violation Points - 1 has 919 (13.7%) missing valuesMissing
Violation Detail - 1 has 984 (14.7%) missing valuesMissing
Violation Memo - 1 has 2263 (33.7%) missing valuesMissing
Violation Description - 2 has 1756 (26.2%) missing valuesMissing
Violation Points - 2 has 1756 (26.2%) missing valuesMissing
Violation Detail - 2 has 1806 (26.9%) missing valuesMissing
Violation Memo - 2 has 2918 (43.5%) missing valuesMissing
Violation Description - 3 has 2609 (38.9%) missing valuesMissing
Violation Points - 3 has 2609 (38.9%) missing valuesMissing
Violation Detail - 3 has 2648 (39.5%) missing valuesMissing
Violation Memo - 3 has 3580 (53.4%) missing valuesMissing
Violation Description - 4 has 3374 (50.3%) missing valuesMissing
Violation Points - 4 has 3374 (50.3%) missing valuesMissing
Violation Detail - 4 has 3417 (50.9%) missing valuesMissing
Violation Memo - 4 has 4116 (61.4%) missing valuesMissing
Violation Description - 5 has 3987 (59.4%) missing valuesMissing
Violation Points - 5 has 3987 (59.4%) missing valuesMissing
Violation Detail - 5 has 4027 (60.0%) missing valuesMissing
Violation Memo - 5 has 4562 (68.0%) missing valuesMissing
Violation Description - 6 has 4535 (67.6%) missing valuesMissing
Violation Points - 6 has 4535 (67.6%) missing valuesMissing
Violation Detail - 6 has 4559 (68.0%) missing valuesMissing
Violation Memo - 6 has 4990 (74.4%) missing valuesMissing
Violation Description - 7 has 5056 (75.4%) missing valuesMissing
Violation Points - 7 has 5056 (75.4%) missing valuesMissing
Violation Detail - 7 has 5076 (75.7%) missing valuesMissing
Violation Memo - 7 has 5356 (79.8%) missing valuesMissing
Violation Description - 8 has 5462 (81.4%) missing valuesMissing
Violation Points - 8 has 5462 (81.4%) missing valuesMissing
Violation Detail - 8 has 5481 (81.7%) missing valuesMissing
Violation Memo - 8 has 5661 (84.4%) missing valuesMissing
Violation Description - 9 has 5774 (86.1%) missing valuesMissing
Violation Points - 9 has 5774 (86.1%) missing valuesMissing
Violation Detail - 9 has 5785 (86.2%) missing valuesMissing
Violation Memo - 9 has 5936 (88.5%) missing valuesMissing
Violation Description - 10 has 6059 (90.3%) missing valuesMissing
Violation Points - 10 has 6059 (90.3%) missing valuesMissing
Violation Detail - 10 has 6066 (90.4%) missing valuesMissing
Violation Memo - 10 has 6142 (91.6%) missing valuesMissing
Violation Description - 11 has 6276 (93.6%) missing valuesMissing
Violation Points - 11 has 6276 (93.6%) missing valuesMissing
Violation Detail - 11 has 6283 (93.7%) missing valuesMissing
Violation Memo - 11 has 6320 (94.2%) missing valuesMissing
Violation Description - 12 has 6451 (96.2%) missing valuesMissing
Violation Points - 12 has 6451 (96.2%) missing valuesMissing
Violation Detail - 12 has 6458 (96.3%) missing valuesMissing
Violation Memo - 12 has 6489 (96.7%) missing valuesMissing
Violation Description - 13 has 6556 (97.7%) missing valuesMissing
Violation Points - 13 has 6556 (97.7%) missing valuesMissing
Violation Detail - 13 has 6557 (97.7%) missing valuesMissing
Violation Memo - 13 has 6570 (97.9%) missing valuesMissing
Violation Description - 14 has 6604 (98.4%) missing valuesMissing
Violation Points - 14 has 6604 (98.4%) missing valuesMissing
Violation Detail - 14 has 6604 (98.4%) missing valuesMissing
Violation Memo - 14 has 6621 (98.7%) missing valuesMissing
Violation Description - 15 has 6639 (99.0%) missing valuesMissing
Violation Points - 15 has 6639 (99.0%) missing valuesMissing
Violation Detail - 15 has 6642 (99.0%) missing valuesMissing
Violation Memo - 15 has 6649 (99.1%) missing valuesMissing
Violation Description - 16 has 6664 (99.3%) missing valuesMissing
Violation Points - 16 has 6664 (99.3%) missing valuesMissing
Violation Detail - 16 has 6666 (99.4%) missing valuesMissing
Violation Memo - 16 has 6672 (99.5%) missing valuesMissing
Violation Description - 17 has 6687 (99.7%) missing valuesMissing
Violation Points - 17 has 6687 (99.7%) missing valuesMissing
Violation Detail - 17 has 6688 (99.7%) missing valuesMissing
Violation Memo - 17 has 6689 (99.7%) missing valuesMissing
Violation Description - 18 has 6694 (99.8%) missing valuesMissing
Violation Points - 18 has 6694 (99.8%) missing valuesMissing
Violation Detail - 18 has 6695 (99.8%) missing valuesMissing
Violation Memo - 18 has 6696 (99.8%) missing valuesMissing
Violation Description - 19 has 6700 (99.9%) missing valuesMissing
Violation Points - 19 has 6700 (99.9%) missing valuesMissing
Violation Detail - 19 has 6700 (99.9%) missing valuesMissing
Violation Memo - 19 has 6700 (99.9%) missing valuesMissing
Violation Description - 20 has 6703 (99.9%) missing valuesMissing
Violation Points - 20 has 6703 (99.9%) missing valuesMissing
Violation Detail - 20 has 6703 (99.9%) missing valuesMissing
Violation Memo - 20 has 6703 (99.9%) missing valuesMissing
Violation Description - 21 has 6706 (> 99.9%) missing valuesMissing
Violation Points - 21 has 6706 (> 99.9%) missing valuesMissing
Violation Detail - 21 has 6706 (> 99.9%) missing valuesMissing
Violation Memo - 21 has 6707 (> 99.9%) missing valuesMissing
Violation Description - 22 has 6707 (> 99.9%) missing valuesMissing
Violation Points - 22 has 6707 (> 99.9%) missing valuesMissing
Violation Detail - 22 has 6707 (> 99.9%) missing valuesMissing
Violation Memo - 22 has 6707 (> 99.9%) missing valuesMissing
Violation Description - 23 has 6707 (> 99.9%) missing valuesMissing
Violation Points - 23 has 6707 (> 99.9%) missing valuesMissing
Violation Detail - 23 has 6707 (> 99.9%) missing valuesMissing
Violation Memo - 23 has 6707 (> 99.9%) missing valuesMissing
Violation Description - 24 has 6707 (> 99.9%) missing valuesMissing
Violation Points - 24 has 6707 (> 99.9%) missing valuesMissing
Violation Detail - 24 has 6707 (> 99.9%) missing valuesMissing
Violation Memo - 24 has 6707 (> 99.9%) missing valuesMissing
Violation Description - 25 has 6707 (> 99.9%) missing valuesMissing
Violation Points - 25 has 6707 (> 99.9%) missing valuesMissing
Violation Detail - 25 has 6707 (> 99.9%) missing valuesMissing
Violation Memo - 25 has 6707 (> 99.9%) missing valuesMissing
Violation Points - 19 is uniformly distributedUniform
Violation Points - 21 is uniformly distributedUniform

Reproduction

Analysis started2024-02-15 22:48:55.127039
Analysis finished2024-02-15 22:49:28.732926
Duration33.61 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Distinct4022
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
2024-02-15T22:49:29.112004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length65
Median length50
Mean length19.577668
Min length3

Characters and Unicode

Total characters131327
Distinct characters58
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2555 ?
Unique (%)38.1%

Sample

1st rowMICKLE CHICKEN
2nd rowTOM THUMB - JUICE BAR
3rd rowBROOKDALE WHITE ROCK
4th rowCHURCH'S CHICKEN #201
5th rowPEAK PREPARATORY-PRIMARY SCHOOL
ValueCountFrequency (%)
671
 
3.1%
kitchen 288
 
1.4%
bar 285
 
1.3%
school 260
 
1.2%
cafe 252
 
1.2%
the 232
 
1.1%
restaurant 224
 
1.1%
la 204
 
1.0%
food 196
 
0.9%
grill 171
 
0.8%
Other values (4090) 18536
86.9%
2024-02-15T22:49:29.983077image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14637
 
11.1%
E 11534
 
8.8%
A 11271
 
8.6%
R 8020
 
6.1%
O 7931
 
6.0%
S 7241
 
5.5%
I 7136
 
5.4%
T 7080
 
5.4%
N 6408
 
4.9%
L 6322
 
4.8%
Other values (48) 43747
33.3%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 109383
83.3%
Space Separator 14637
 
11.1%
Decimal Number 3510
 
2.7%
Other Punctuation 2501
 
1.9%
Dash Punctuation 597
 
0.5%
Open Punctuation 329
 
0.3%
Close Punctuation 328
 
0.2%
Lowercase Letter 35
 
< 0.1%
Math Symbol 6
 
< 0.1%
Currency Symbol 1
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 11534
 
10.5%
A 11271
 
10.3%
R 8020
 
7.3%
O 7931
 
7.3%
S 7241
 
6.6%
I 7136
 
6.5%
T 7080
 
6.5%
N 6408
 
5.9%
L 6322
 
5.8%
C 5814
 
5.3%
Other values (16) 30626
28.0%
Other Punctuation
ValueCountFrequency (%)
' 899
35.9%
# 797
31.9%
& 401
16.0%
/ 207
 
8.3%
@ 61
 
2.4%
. 60
 
2.4%
, 49
 
2.0%
" 22
 
0.9%
: 4
 
0.2%
! 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 574
16.4%
2 474
13.5%
3 392
11.2%
7 363
10.3%
4 332
9.5%
5 320
9.1%
0 300
8.5%
6 272
7.7%
8 243
6.9%
9 240
6.8%
Lowercase Letter
ValueCountFrequency (%)
t 10
28.6%
n 7
20.0%
d 7
20.0%
h 6
17.1%
s 4
 
11.4%
z 1
 
2.9%
Space Separator
ValueCountFrequency (%)
14637
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 597
100.0%
Open Punctuation
ValueCountFrequency (%)
( 329
100.0%
Close Punctuation
ValueCountFrequency (%)
) 328
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 109418
83.3%
Common 21909
 
16.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 11534
 
10.5%
A 11271
 
10.3%
R 8020
 
7.3%
O 7931
 
7.2%
S 7241
 
6.6%
I 7136
 
6.5%
T 7080
 
6.5%
N 6408
 
5.9%
L 6322
 
5.8%
C 5814
 
5.3%
Other values (22) 30661
28.0%
Common
ValueCountFrequency (%)
14637
66.8%
' 899
 
4.1%
# 797
 
3.6%
- 597
 
2.7%
1 574
 
2.6%
2 474
 
2.2%
& 401
 
1.8%
3 392
 
1.8%
7 363
 
1.7%
4 332
 
1.5%
Other values (16) 2443
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 131327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14637
 
11.1%
E 11534
 
8.8%
A 11271
 
8.6%
R 8020
 
6.1%
O 7931
 
6.0%
S 7241
 
5.5%
I 7136
 
5.4%
T 7080
 
5.4%
N 6408
 
4.9%
L 6322
 
4.8%
Other values (48) 43747
33.3%

Inspection Type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
Routine
6620 
Follow-up
 
83
Complaint
 
5

Length

Max length9
Median length7
Mean length7.0262373
Min length7

Characters and Unicode

Total characters47132
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRoutine
2nd rowRoutine
3rd rowRoutine
4th rowRoutine
5th rowRoutine

Common Values

ValueCountFrequency (%)
Routine 6620
98.7%
Follow-up 83
 
1.2%
Complaint 5
 
0.1%

Length

2024-02-15T22:49:30.309841image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:49:30.573650image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
routine 6620
98.7%
follow-up 83
 
1.2%
complaint 5
 
0.1%

Most occurring characters

ValueCountFrequency (%)
o 6791
14.4%
u 6703
14.2%
t 6625
14.1%
i 6625
14.1%
n 6625
14.1%
R 6620
14.0%
e 6620
14.0%
l 171
 
0.4%
p 88
 
0.2%
F 83
 
0.2%
Other values (5) 181
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 40341
85.6%
Uppercase Letter 6708
 
14.2%
Dash Punctuation 83
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 6791
16.8%
u 6703
16.6%
t 6625
16.4%
i 6625
16.4%
n 6625
16.4%
e 6620
16.4%
l 171
 
0.4%
p 88
 
0.2%
w 83
 
0.2%
m 5
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
R 6620
98.7%
F 83
 
1.2%
C 5
 
0.1%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 47049
99.8%
Common 83
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 6791
14.4%
u 6703
14.2%
t 6625
14.1%
i 6625
14.1%
n 6625
14.1%
R 6620
14.1%
e 6620
14.1%
l 171
 
0.4%
p 88
 
0.2%
F 83
 
0.2%
Other values (4) 98
 
0.2%
Common
ValueCountFrequency (%)
- 83
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
o 6791
14.4%
u 6703
14.2%
t 6625
14.1%
i 6625
14.1%
n 6625
14.1%
R 6620
14.0%
e 6620
14.0%
l 171
 
0.4%
p 88
 
0.2%
F 83
 
0.2%
Other values (5) 181
 
0.4%
Distinct915
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
Minimum2016-10-06 00:00:00
Maximum2023-12-08 00:00:00
2024-02-15T22:49:30.807202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-15T22:49:31.079811image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Score
Real number (ℝ)

HIGH CORRELATION 

Distinct43
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.193798
Minimum0
Maximum100
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size52.5 KiB
2024-02-15T22:49:31.375627image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile80
Q188
median94
Q398
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.8524467
Coefficient of variation (CV)0.074326547
Kurtosis10.143109
Mean92.193798
Median Absolute Deviation (MAD)4
Skewness-1.6055007
Sum618436
Variance46.956025
MonotonicityNot monotonic
2024-02-15T22:49:31.654167image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
100 915
13.6%
97 508
 
7.6%
95 453
 
6.8%
98 439
 
6.5%
96 414
 
6.2%
94 388
 
5.8%
99 338
 
5.0%
90 333
 
5.0%
93 318
 
4.7%
91 318
 
4.7%
Other values (33) 2284
34.0%
ValueCountFrequency (%)
0 2
< 0.1%
53 1
 
< 0.1%
60 1
 
< 0.1%
61 1
 
< 0.1%
62 2
< 0.1%
63 1
 
< 0.1%
64 2
< 0.1%
65 3
< 0.1%
66 3
< 0.1%
67 1
 
< 0.1%
ValueCountFrequency (%)
100 915
13.6%
99 338
 
5.0%
98 439
6.5%
97 508
7.6%
96 414
6.2%
95 453
6.8%
94 388
5.8%
93 318
 
4.7%
92 294
 
4.4%
91 318
 
4.7%

Street Number
Real number (ℝ)

HIGH CORRELATION 

Distinct2336
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5556.1
Minimum0
Maximum39640
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size52.5 KiB
2024-02-15T22:49:31.943433image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile555
Q12333
median4234
Q38301
95-th percentile13350
Maximum39640
Range39640
Interquartile range (IQR)5968

Descriptive statistics

Standard deviation4196.2754
Coefficient of variation (CV)0.75525556
Kurtosis1.2839729
Mean5556.1
Median Absolute Deviation (MAD)2531
Skewness1.0625422
Sum37270319
Variance17608728
MonotonicityNot monotonic
2024-02-15T22:49:32.237122image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2201 40
 
0.6%
650 39
 
0.6%
8687 37
 
0.6%
400 33
 
0.5%
8008 28
 
0.4%
1441 28
 
0.4%
3500 27
 
0.4%
2200 26
 
0.4%
3127 25
 
0.4%
2500 24
 
0.4%
Other values (2326) 6401
95.4%
ValueCountFrequency (%)
0 1
 
< 0.1%
100 7
0.1%
102 5
0.1%
106 2
 
< 0.1%
108 1
 
< 0.1%
110 2
 
< 0.1%
111 3
< 0.1%
112 3
< 0.1%
115 1
 
< 0.1%
116 3
< 0.1%
ValueCountFrequency (%)
39640 1
 
< 0.1%
33333 1
 
< 0.1%
19177 1
 
< 0.1%
19160 3
< 0.1%
19129 2
< 0.1%
19111 2
< 0.1%
19109 1
 
< 0.1%
19090 2
< 0.1%
19049 2
< 0.1%
19021 3
< 0.1%
Distinct607
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
2024-02-15T22:49:32.778793image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length25
Median length21
Mean length7.8330352
Min length2

Characters and Unicode

Total characters52544
Distinct characters39
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)2.5%

Sample

1st rowCAMP WISDOM
2nd rowFIELD
3rd rowWHITE ROCK
4th rowFERGUSON
5th rowANNEX
ValueCountFrequency (%)
northwest 224
 
2.7%
central 183
 
2.2%
greenville 180
 
2.2%
preston 178
 
2.2%
forest 174
 
2.1%
walnut 141
 
1.7%
buckner 134
 
1.6%
hill 130
 
1.6%
mockingbird 121
 
1.5%
mckinney 115
 
1.4%
Other values (649) 6580
80.6%
2024-02-15T22:49:33.585130image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 5129
 
9.8%
R 4458
 
8.5%
L 4435
 
8.4%
N 4216
 
8.0%
A 4199
 
8.0%
O 3529
 
6.7%
T 3123
 
5.9%
S 2958
 
5.6%
I 2855
 
5.4%
M 2044
 
3.9%
Other values (29) 15598
29.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 51011
97.1%
Space Separator 1452
 
2.8%
Decimal Number 56
 
0.1%
Other Punctuation 19
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 5129
 
10.1%
R 4458
 
8.7%
L 4435
 
8.7%
N 4216
 
8.3%
A 4199
 
8.2%
O 3529
 
6.9%
T 3123
 
6.1%
S 2958
 
5.8%
I 2855
 
5.6%
M 2044
 
4.0%
Other values (15) 14065
27.6%
Decimal Number
ValueCountFrequency (%)
0 13
23.2%
2 10
17.9%
8 9
16.1%
4 8
14.3%
1 8
14.3%
7 4
 
7.1%
3 3
 
5.4%
5 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 11
57.9%
# 5
26.3%
' 3
 
15.8%
Space Separator
ValueCountFrequency (%)
1452
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 51011
97.1%
Common 1533
 
2.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 5129
 
10.1%
R 4458
 
8.7%
L 4435
 
8.7%
N 4216
 
8.3%
A 4199
 
8.2%
O 3529
 
6.9%
T 3123
 
6.1%
S 2958
 
5.8%
I 2855
 
5.6%
M 2044
 
4.0%
Other values (15) 14065
27.6%
Common
ValueCountFrequency (%)
1452
94.7%
0 13
 
0.8%
. 11
 
0.7%
2 10
 
0.7%
8 9
 
0.6%
4 8
 
0.5%
1 8
 
0.5%
# 5
 
0.3%
7 4
 
0.3%
( 3
 
0.2%
Other values (4) 10
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52544
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 5129
 
9.8%
R 4458
 
8.5%
L 4435
 
8.4%
N 4216
 
8.0%
A 4199
 
8.0%
O 3529
 
6.7%
T 3123
 
5.9%
S 2958
 
5.6%
I 2855
 
5.4%
M 2044
 
3.9%
Other values (29) 15598
29.7%

Street Direction
Categorical

HIGH CORRELATION  MISSING 

Distinct4
Distinct (%)0.2%
Missing4521
Missing (%)67.4%
Memory size52.5 KiB
N
715 
W
606 
S
540 
E
326 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2187
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowW
2nd rowN
3rd rowS
4th rowN
5th rowW

Common Values

ValueCountFrequency (%)
N 715
 
10.7%
W 606
 
9.0%
S 540
 
8.1%
E 326
 
4.9%
(Missing) 4521
67.4%

Length

2024-02-15T22:49:33.870125image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:49:34.131228image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
n 715
32.7%
w 606
27.7%
s 540
24.7%
e 326
14.9%

Most occurring characters

ValueCountFrequency (%)
N 715
32.7%
W 606
27.7%
S 540
24.7%
E 326
14.9%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 2187
100.0%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
N 715
32.7%
W 606
27.7%
S 540
24.7%
E 326
14.9%

Most occurring scripts

ValueCountFrequency (%)
Latin 2187
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
N 715
32.7%
W 606
27.7%
S 540
24.7%
E 326
14.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2187
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
N 715
32.7%
W 606
27.7%
S 540
24.7%
E 326
14.9%

Street Type
Categorical

HIGH CORRELATION  MISSING 

Distinct18
Distinct (%)0.3%
Missing140
Missing (%)2.1%
Memory size52.5 KiB
RD
1593 
AVE
1178 
ST
1029 
LN
797 
BLVD
543 
Other values (13)
1428 

Length

Max length4
Median length2
Mean length2.5800853
Min length2

Characters and Unicode

Total characters16946
Distinct characters20
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRD
2nd rowST
3rd rowTRL
4th rowRD
5th rowAVE

Common Values

ValueCountFrequency (%)
RD 1593
23.7%
AVE 1178
17.6%
ST 1029
15.3%
LN 797
11.9%
BLVD 543
 
8.1%
DR 457
 
6.8%
FRWY 260
 
3.9%
HWY 224
 
3.3%
EXPW 198
 
3.0%
PKWY 140
 
2.1%
Other values (8) 149
 
2.2%
(Missing) 140
 
2.1%

Length

2024-02-15T22:49:34.413171image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
rd 1593
24.3%
ave 1178
17.9%
st 1029
15.7%
ln 797
12.1%
blvd 543
 
8.3%
dr 457
 
7.0%
frwy 260
 
4.0%
hwy 224
 
3.4%
expw 198
 
3.0%
pkwy 140
 
2.1%
Other values (8) 149
 
2.3%

Most occurring characters

ValueCountFrequency (%)
D 2593
15.3%
R 2355
13.9%
V 1721
10.2%
E 1397
8.2%
L 1369
8.1%
A 1222
7.2%
T 1095
6.5%
S 1036
 
6.1%
W 890
 
5.3%
N 797
 
4.7%
Other values (10) 2471
14.6%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 16939
> 99.9%
Other Punctuation 7
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
D 2593
15.3%
R 2355
13.9%
V 1721
10.2%
E 1397
8.2%
L 1369
8.1%
A 1222
7.2%
T 1095
6.5%
S 1036
 
6.1%
W 890
 
5.3%
N 797
 
4.7%
Other values (9) 2464
14.5%
Other Punctuation
ValueCountFrequency (%)
/ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16939
> 99.9%
Common 7
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
D 2593
15.3%
R 2355
13.9%
V 1721
10.2%
E 1397
8.2%
L 1369
8.1%
A 1222
7.2%
T 1095
6.5%
S 1036
 
6.1%
W 890
 
5.3%
N 797
 
4.7%
Other values (9) 2464
14.5%
Common
ValueCountFrequency (%)
/ 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
D 2593
15.3%
R 2355
13.9%
V 1721
10.2%
E 1397
8.2%
L 1369
8.1%
A 1222
7.2%
T 1095
6.5%
S 1036
 
6.1%
W 890
 
5.3%
N 797
 
4.7%
Other values (10) 2471
14.6%

Street Unit
Text

MISSING 

Distinct512
Distinct (%)22.3%
Missing4417
Missing (%)65.8%
Memory size52.5 KiB
2024-02-15T22:49:34.981553image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.8428634
Min length1

Characters and Unicode

Total characters8804
Distinct characters32
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)10.3%

Sample

1st row#3000
2nd row#110
3rd row#180
4th row#B
5th row#101
ValueCountFrequency (%)
100 232
 
10.0%
110 86
 
3.7%
101 84
 
3.6%
a 83
 
3.6%
b 62
 
2.7%
102 50
 
2.2%
200 46
 
2.0%
150 44
 
1.9%
140 42
 
1.8%
103 40
 
1.7%
Other values (460) 1540
66.7%
2024-02-15T22:49:35.877990image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
# 2063
23.4%
0 1877
21.3%
1 1794
20.4%
2 607
 
6.9%
3 463
 
5.3%
5 352
 
4.0%
4 290
 
3.3%
6 229
 
2.6%
8 195
 
2.2%
7 155
 
1.8%
Other values (22) 779
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6098
69.3%
Other Punctuation 2064
 
23.4%
Uppercase Letter 572
 
6.5%
Dash Punctuation 52
 
0.6%
Space Separator 18
 
0.2%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 138
24.1%
B 109
19.1%
C 104
18.2%
L 47
 
8.2%
F 46
 
8.0%
E 27
 
4.7%
D 16
 
2.8%
H 14
 
2.4%
R 13
 
2.3%
G 13
 
2.3%
Other values (8) 45
 
7.9%
Decimal Number
ValueCountFrequency (%)
0 1877
30.8%
1 1794
29.4%
2 607
 
10.0%
3 463
 
7.6%
5 352
 
5.8%
4 290
 
4.8%
6 229
 
3.8%
8 195
 
3.2%
7 155
 
2.5%
9 136
 
2.2%
Other Punctuation
ValueCountFrequency (%)
# 2063
> 99.9%
& 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8232
93.5%
Latin 572
 
6.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 138
24.1%
B 109
19.1%
C 104
18.2%
L 47
 
8.2%
F 46
 
8.0%
E 27
 
4.7%
D 16
 
2.8%
H 14
 
2.4%
R 13
 
2.3%
G 13
 
2.3%
Other values (8) 45
 
7.9%
Common
ValueCountFrequency (%)
# 2063
25.1%
0 1877
22.8%
1 1794
21.8%
2 607
 
7.4%
3 463
 
5.6%
5 352
 
4.3%
4 290
 
3.5%
6 229
 
2.8%
8 195
 
2.4%
7 155
 
1.9%
Other values (4) 207
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
# 2063
23.4%
0 1877
21.3%
1 1794
20.4%
2 607
 
6.9%
3 463
 
5.3%
5 352
 
4.0%
4 290
 
3.3%
6 229
 
2.6%
8 195
 
2.2%
7 155
 
1.8%
Other values (22) 779
 
8.8%
Distinct3903
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
2024-02-15T22:49:36.407448image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length35
Median length30.5
Mean length18.825581
Min length10

Characters and Unicode

Total characters126282
Distinct characters44
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2395 ?
Unique (%)35.7%

Sample

1st row3203 W CAMP WISDOM RD
2nd row2380 N FIELD ST
3rd row9271 WHITE ROCK TRL
4th row10295 FERGUSON RD
5th row1474 ANNEX AVE
ValueCountFrequency (%)
rd 1595
 
6.1%
ave 1179
 
4.5%
st 1059
 
4.1%
ln 804
 
3.1%
n 715
 
2.7%
w 611
 
2.3%
blvd 545
 
2.1%
s 542
 
2.1%
dr 457
 
1.7%
e 343
 
1.3%
Other values (3361) 18275
70.0%
2024-02-15T22:49:37.221747image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19417
 
15.4%
E 7022
 
5.6%
R 6836
 
5.4%
1 6765
 
5.4%
0 6490
 
5.1%
L 5883
 
4.7%
N 5733
 
4.5%
A 5566
 
4.4%
S 4683
 
3.7%
T 4377
 
3.5%
Other values (34) 53510
42.4%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 71268
56.4%
Decimal Number 33431
26.5%
Space Separator 19417
 
15.4%
Other Punctuation 2106
 
1.7%
Dash Punctuation 54
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 7022
 
9.9%
R 6836
 
9.6%
L 5883
 
8.3%
N 5733
 
8.0%
A 5566
 
7.8%
S 4683
 
6.6%
T 4377
 
6.1%
D 4077
 
5.7%
O 3555
 
5.0%
I 2857
 
4.0%
Other values (15) 20679
29.0%
Decimal Number
ValueCountFrequency (%)
1 6765
20.2%
0 6490
19.4%
2 4191
12.5%
3 3160
9.5%
5 2887
8.6%
4 2377
 
7.1%
8 1993
 
6.0%
7 1923
 
5.8%
6 1831
 
5.5%
9 1814
 
5.4%
Other Punctuation
ValueCountFrequency (%)
# 2083
98.9%
. 12
 
0.6%
/ 7
 
0.3%
' 3
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
19417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 71268
56.4%
Common 55014
43.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 7022
 
9.9%
R 6836
 
9.6%
L 5883
 
8.3%
N 5733
 
8.0%
A 5566
 
7.8%
S 4683
 
6.6%
T 4377
 
6.1%
D 4077
 
5.7%
O 3555
 
5.0%
I 2857
 
4.0%
Other values (15) 20679
29.0%
Common
ValueCountFrequency (%)
19417
35.3%
1 6765
 
12.3%
0 6490
 
11.8%
2 4191
 
7.6%
3 3160
 
5.7%
5 2887
 
5.2%
4 2377
 
4.3%
# 2083
 
3.8%
8 1993
 
3.6%
7 1923
 
3.5%
Other values (9) 3728
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 126282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19417
 
15.4%
E 7022
 
5.6%
R 6836
 
5.4%
1 6765
 
5.4%
0 6490
 
5.1%
L 5883
 
4.7%
N 5733
 
4.5%
A 5566
 
4.4%
S 4683
 
3.7%
T 4377
 
3.5%
Other values (34) 53510
42.4%
Distinct89
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size52.5 KiB
2024-02-15T22:49:37.634247image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length10
Median length5
Mean length5.0110316
Min length5

Characters and Unicode

Total characters33614
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)0.3%

Sample

1st row75237
2nd row75021
3rd row75238
4th row75228
5th row75204
ValueCountFrequency (%)
75201 421
 
6.3%
75220 339
 
5.1%
75231 322
 
4.8%
75243 302
 
4.5%
75206 269
 
4.0%
75219 227
 
3.4%
75211 214
 
3.2%
75229 213
 
3.2%
75217 209
 
3.1%
75228 208
 
3.1%
Other values (79) 3984
59.4%
2024-02-15T22:49:38.434263image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 8494
25.3%
7 7493
22.3%
5 7355
21.9%
0 2432
 
7.2%
1 2431
 
7.2%
3 1678
 
5.0%
4 1528
 
4.5%
8 944
 
2.8%
6 638
 
1.9%
9 611
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 33604
> 99.9%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 8494
25.3%
7 7493
22.3%
5 7355
21.9%
0 2432
 
7.2%
1 2431
 
7.2%
3 1678
 
5.0%
4 1528
 
4.5%
8 944
 
2.8%
6 638
 
1.9%
9 611
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33614
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 8494
25.3%
7 7493
22.3%
5 7355
21.9%
0 2432
 
7.2%
1 2431
 
7.2%
3 1678
 
5.0%
4 1528
 
4.5%
8 944
 
2.8%
6 638
 
1.9%
9 611
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33614
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 8494
25.3%
7 7493
22.3%
5 7355
21.9%
0 2432
 
7.2%
1 2431
 
7.2%
3 1678
 
5.0%
4 1528
 
4.5%
8 944
 
2.8%
6 638
 
1.9%
9 611
 
1.8%
Distinct349
Distinct (%)6.0%
Missing919
Missing (%)13.7%
Memory size52.5 KiB
2024-02-15T22:49:39.052008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length89
Mean length44.821558
Min length12

Characters and Unicode

Total characters259472
Distinct characters82
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)1.6%

Sample

1st row*21 RFSM - Not On Site
2nd row*21 RFSM - Not On Site
3rd row*32 Equipment & Utensils smooth easily cleanable
4th row*18 Toxic items storage adjacent to food/utensils
5th row*29 Concentration of the sanitizing solution shall be accurately determined by using a test kit or o
ValueCountFrequency (%)
food 1390
 
3.3%
1209
 
2.9%
and 920
 
2.2%
or 753
 
1.8%
in 634
 
1.5%
not 622
 
1.5%
10 620
 
1.5%
clean 490
 
1.2%
21 451
 
1.1%
good 450
 
1.1%
Other values (870) 34004
81.9%
2024-02-15T22:49:40.162544image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36364
 
14.0%
e 20006
 
7.7%
o 19519
 
7.5%
n 15638
 
6.0%
t 15308
 
5.9%
i 14496
 
5.6%
a 13505
 
5.2%
s 11684
 
4.5%
r 11380
 
4.4%
d 9448
 
3.6%
Other values (72) 92124
35.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 181762
70.1%
Space Separator 36364
 
14.0%
Decimal Number 14653
 
5.6%
Uppercase Letter 13730
 
5.3%
Other Punctuation 10238
 
3.9%
Dash Punctuation 1606
 
0.6%
Open Punctuation 459
 
0.2%
Close Punctuation 456
 
0.2%
Math Symbol 204
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 20006
11.0%
o 19519
10.7%
n 15638
 
8.6%
t 15308
 
8.4%
i 14496
 
8.0%
a 13505
 
7.4%
s 11684
 
6.4%
r 11380
 
6.3%
d 9448
 
5.2%
l 7889
 
4.3%
Other values (18) 42889
23.6%
Uppercase Letter
ValueCountFrequency (%)
F 2452
17.9%
C 1752
12.8%
S 1653
12.0%
T 1188
8.7%
H 795
 
5.8%
R 725
 
5.3%
O 702
 
5.1%
D 616
 
4.5%
P 613
 
4.5%
N 566
 
4.1%
Other values (14) 2668
19.4%
Other Punctuation
ValueCountFrequency (%)
* 5788
56.5%
, 2213
 
21.6%
/ 1103
 
10.8%
. 500
 
4.9%
& 268
 
2.6%
: 252
 
2.5%
' 90
 
0.9%
? 13
 
0.1%
§ 5
 
< 0.1%
; 2
 
< 0.1%
Other values (2) 4
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 2793
19.1%
4 2577
17.6%
2 2170
14.8%
3 1868
12.7%
0 1852
12.6%
5 1056
 
7.2%
9 815
 
5.6%
7 672
 
4.6%
8 434
 
3.0%
6 416
 
2.8%
Math Symbol
ValueCountFrequency (%)
> 143
70.1%
< 36
 
17.6%
= 14
 
6.9%
+ 11
 
5.4%
Space Separator
ValueCountFrequency (%)
36364
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1606
100.0%
Open Punctuation
ValueCountFrequency (%)
( 459
100.0%
Close Punctuation
ValueCountFrequency (%)
) 456
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 195492
75.3%
Common 63980
 
24.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 20006
 
10.2%
o 19519
 
10.0%
n 15638
 
8.0%
t 15308
 
7.8%
i 14496
 
7.4%
a 13505
 
6.9%
s 11684
 
6.0%
r 11380
 
5.8%
d 9448
 
4.8%
l 7889
 
4.0%
Other values (42) 56619
29.0%
Common
ValueCountFrequency (%)
36364
56.8%
* 5788
 
9.0%
1 2793
 
4.4%
4 2577
 
4.0%
, 2213
 
3.5%
2 2170
 
3.4%
3 1868
 
2.9%
0 1852
 
2.9%
- 1606
 
2.5%
/ 1103
 
1.7%
Other values (20) 5646
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 258636
99.7%
None 836
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36364
 
14.1%
e 20006
 
7.7%
o 19519
 
7.5%
n 15638
 
6.0%
t 15308
 
5.9%
i 14496
 
5.6%
a 13505
 
5.2%
s 11684
 
4.5%
r 11380
 
4.4%
d 9448
 
3.7%
Other values (69) 91288
35.3%
None
ValueCountFrequency (%)
ø 823
98.4%
õ 8
 
1.0%
§ 5
 
0.6%

Violation Points - 1
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.1%
Missing919
Missing (%)13.7%
Memory size52.5 KiB
3.0
2259 
1.0
2055 
2.0
1475 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters17367
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
3.0 2259
33.7%
1.0 2055
30.6%
2.0 1475
22.0%
(Missing) 919
13.7%

Length

2024-02-15T22:49:40.585300image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:49:41.043916image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3.0 2259
39.0%
1.0 2055
35.5%
2.0 1475
25.5%

Most occurring characters

ValueCountFrequency (%)
. 5789
33.3%
0 5789
33.3%
3 2259
 
13.0%
1 2055
 
11.8%
2 1475
 
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11578
66.7%
Other Punctuation 5789
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5789
50.0%
3 2259
 
19.5%
1 2055
 
17.7%
2 1475
 
12.7%
Other Punctuation
ValueCountFrequency (%)
. 5789
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17367
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5789
33.3%
0 5789
33.3%
3 2259
 
13.0%
1 2055
 
11.8%
2 1475
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17367
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5789
33.3%
0 5789
33.3%
3 2259
 
13.0%
1 2055
 
11.8%
2 1475
 
8.5%

Violation Detail - 1
Text

MISSING 

Distinct352
Distinct (%)6.1%
Missing984
Missing (%)14.7%
Memory size52.5 KiB
2024-02-15T22:49:42.388841image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length888
Median length684
Mean length376.42697
Min length125

Characters and Unicode

Total characters2154668
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)1.7%

Sample

1st rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
2nd rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
3rd row228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; and
4th row228.203 Poisonous or Toxic Materials. Storage, separation. Poisonous or toxic materials shall be stored so they cannot contaminate food, equipment, utensils, linens, and single-service and single-use articles by: (1) separating the poisonous or toxic materials by spacing or partitioning; and
5th row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (p) Warewashing equipment, determining chemical sanitizer concentration. Concentration of the sanitizing solution shall be accurately determined by using a test kit or other device.
ValueCountFrequency (%)
and 16921
 
5.7%
food 11841
 
4.0%
of 10037
 
3.4%
the 9256
 
3.1%
a 7679
 
2.6%
in 6800
 
2.3%
shall 6467
 
2.2%
be 5832
 
2.0%
or 5795
 
1.9%
equipment 5553
 
1.9%
Other values (1903) 212779
71.2%
2024-02-15T22:49:43.759577image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
442741
20.5%
e 182887
 
8.5%
a 125837
 
5.8%
i 123120
 
5.7%
n 122533
 
5.7%
t 122364
 
5.7%
o 116970
 
5.4%
s 113752
 
5.3%
r 86382
 
4.0%
d 72996
 
3.4%
Other values (61) 645086
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1506365
69.9%
Space Separator 442741
 
20.5%
Other Punctuation 59478
 
2.8%
Decimal Number 52879
 
2.5%
Uppercase Letter 46193
 
2.1%
Close Punctuation 20004
 
0.9%
Open Punctuation 19881
 
0.9%
Dash Punctuation 7127
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 182887
12.1%
a 125837
 
8.4%
i 123120
 
8.2%
n 122533
 
8.1%
t 122364
 
8.1%
o 116970
 
7.8%
s 113752
 
7.6%
r 86382
 
5.7%
d 72996
 
4.8%
l 63763
 
4.2%
Other values (17) 375761
24.9%
Uppercase Letter
ValueCountFrequency (%)
E 5804
12.6%
F 5381
11.6%
C 4945
10.7%
P 4286
9.3%
T 3802
8.2%
S 3273
 
7.1%
A 3214
 
7.0%
L 2193
 
4.7%
R 2157
 
4.7%
U 2145
 
4.6%
Other values (13) 8993
19.5%
Decimal Number
ValueCountFrequency (%)
2 17849
33.8%
1 12016
22.7%
8 7442
14.1%
7 3283
 
6.2%
5 3067
 
5.8%
4 2553
 
4.8%
3 2546
 
4.8%
6 2201
 
4.2%
0 1321
 
2.5%
9 601
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 27176
45.7%
, 25737
43.3%
: 3089
 
5.2%
; 2423
 
4.1%
/ 731
 
1.2%
' 190
 
0.3%
# 132
 
0.2%
Space Separator
ValueCountFrequency (%)
442741
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20004
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19881
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1552558
72.1%
Common 602110
 
27.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 182887
11.8%
a 125837
 
8.1%
i 123120
 
7.9%
n 122533
 
7.9%
t 122364
 
7.9%
o 116970
 
7.5%
s 113752
 
7.3%
r 86382
 
5.6%
d 72996
 
4.7%
l 63763
 
4.1%
Other values (40) 421954
27.2%
Common
ValueCountFrequency (%)
442741
73.5%
. 27176
 
4.5%
, 25737
 
4.3%
) 20004
 
3.3%
( 19881
 
3.3%
2 17849
 
3.0%
1 12016
 
2.0%
8 7442
 
1.2%
- 7127
 
1.2%
7 3283
 
0.5%
Other values (11) 18854
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2153405
99.9%
None 1263
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
442741
20.6%
e 182887
 
8.5%
a 125837
 
5.8%
i 123120
 
5.7%
n 122533
 
5.7%
t 122364
 
5.7%
o 116970
 
5.4%
s 113752
 
5.3%
r 86382
 
4.0%
d 72996
 
3.4%
Other values (60) 643823
29.9%
None
ValueCountFrequency (%)
õ 1263
100.0%

Violation Memo - 1
Text

MISSING 

Distinct4039
Distinct (%)90.9%
Missing2263
Missing (%)33.7%
Memory size52.5 KiB
2024-02-15T22:49:44.654880image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length861
Median length227
Mean length50.062767
Min length3

Characters and Unicode

Total characters222529
Distinct characters90
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3828 ?
Unique (%)86.1%

Sample

1st rowregister with the City of Dallas: 7901 Goforth Rd Dallas, TX 75238 214-670-8083
2nd rowyou can not store utensils or food on cloth
3rd rowobserved chemical store next to the food
4th rowlow concentration at sanitizer bucket with100 ppm must be maintain at: 200- 400 ppm Quat concentration
5th rowreplace missing and shifting ceiling tiles
ValueCountFrequency (%)
in 1102
 
2.9%
the 832
 
2.2%
and 678
 
1.8%
food 656
 
1.7%
on 656
 
1.7%
of 625
 
1.6%
clean 603
 
1.6%
to 587
 
1.5%
at 556
 
1.5%
observed 462
 
1.2%
Other values (3190) 31147
82.2%
2024-02-15T22:49:46.374737image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36226
 
16.3%
e 17089
 
7.7%
o 11532
 
5.2%
a 10450
 
4.7%
i 10056
 
4.5%
n 10037
 
4.5%
t 9914
 
4.5%
r 9403
 
4.2%
s 9254
 
4.2%
d 6252
 
2.8%
Other values (80) 92316
41.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 133961
60.2%
Uppercase Letter 44743
 
20.1%
Space Separator 36226
 
16.3%
Decimal Number 3715
 
1.7%
Other Punctuation 2906
 
1.3%
Dash Punctuation 312
 
0.1%
Close Punctuation 308
 
0.1%
Open Punctuation 302
 
0.1%
Math Symbol 42
 
< 0.1%
Initial Punctuation 6
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 17089
12.8%
o 11532
 
8.6%
a 10450
 
7.8%
i 10056
 
7.5%
n 10037
 
7.5%
t 9914
 
7.4%
r 9403
 
7.0%
s 9254
 
6.9%
d 6252
 
4.7%
l 5648
 
4.2%
Other values (17) 34326
25.6%
Uppercase Letter
ValueCountFrequency (%)
E 5673
12.7%
O 3806
 
8.5%
R 3369
 
7.5%
I 3170
 
7.1%
T 3095
 
6.9%
N 3095
 
6.9%
A 3062
 
6.8%
S 2870
 
6.4%
C 2262
 
5.1%
D 2171
 
4.9%
Other values (16) 12170
27.2%
Other Punctuation
ValueCountFrequency (%)
. 1441
49.6%
, 692
23.8%
/ 248
 
8.5%
' 116
 
4.0%
; 109
 
3.8%
: 98
 
3.4%
* 85
 
2.9%
" 64
 
2.2%
& 30
 
1.0%
@ 21
 
0.7%
Other values (2) 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 705
19.0%
0 568
15.3%
4 477
12.8%
5 442
11.9%
2 418
11.3%
3 283
7.6%
6 253
 
6.8%
7 215
 
5.8%
9 180
 
4.8%
8 174
 
4.7%
Math Symbol
ValueCountFrequency (%)
< 24
57.1%
> 9
 
21.4%
+ 6
 
14.3%
= 2
 
4.8%
~ 1
 
2.4%
Close Punctuation
ValueCountFrequency (%)
) 307
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 301
99.7%
[ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
36226
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 312
100.0%
Initial Punctuation
ValueCountFrequency (%)
6
100.0%
Final Punctuation
ValueCountFrequency (%)
6
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 178704
80.3%
Common 43825
 
19.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 17089
 
9.6%
o 11532
 
6.5%
a 10450
 
5.8%
i 10056
 
5.6%
n 10037
 
5.6%
t 9914
 
5.5%
r 9403
 
5.3%
s 9254
 
5.2%
d 6252
 
3.5%
E 5673
 
3.2%
Other values (43) 79044
44.2%
Common
ValueCountFrequency (%)
36226
82.7%
. 1441
 
3.3%
1 705
 
1.6%
, 692
 
1.6%
0 568
 
1.3%
4 477
 
1.1%
5 442
 
1.0%
2 418
 
1.0%
- 312
 
0.7%
) 307
 
0.7%
Other values (27) 2237
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 222515
> 99.9%
Punctuation 12
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36226
 
16.3%
e 17089
 
7.7%
o 11532
 
5.2%
a 10450
 
4.7%
i 10056
 
4.5%
n 10037
 
4.5%
t 9914
 
4.5%
r 9403
 
4.2%
s 9254
 
4.2%
d 6252
 
2.8%
Other values (76) 92302
41.5%
Punctuation
ValueCountFrequency (%)
6
50.0%
6
50.0%
None
ValueCountFrequency (%)
° 1
50.0%
í 1
50.0%
Distinct333
Distinct (%)6.7%
Missing1756
Missing (%)26.2%
Memory size52.5 KiB
2024-02-15T22:49:47.372318image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length83
Mean length45.118134
Min length12

Characters and Unicode

Total characters223425
Distinct characters81
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)2.0%

Sample

1st row*42 Dirty nonfood contact surfaces
2nd row*11Food Donations - Damaged foods
3rd row*22 Handlers-Certificate Not On Site
4th row*28 Do not exceed manuf. use by date
5th row*45Floor, wall, ceiling - Exposed material
ValueCountFrequency (%)
food 1161
 
3.3%
1071
 
3.0%
and 686
 
1.9%
in 572
 
1.6%
or 497
 
1.4%
not 488
 
1.4%
10 416
 
1.2%
equipment 406
 
1.1%
to 387
 
1.1%
21 374
 
1.1%
Other values (839) 29293
82.9%
2024-02-15T22:49:48.224715image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30946
 
13.9%
e 17509
 
7.8%
o 16508
 
7.4%
n 13857
 
6.2%
t 13139
 
5.9%
i 13058
 
5.8%
a 11711
 
5.2%
s 10715
 
4.8%
r 10033
 
4.5%
d 7798
 
3.5%
Other values (71) 78151
35.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 158831
71.1%
Space Separator 30946
 
13.9%
Decimal Number 11787
 
5.3%
Uppercase Letter 10922
 
4.9%
Other Punctuation 8837
 
4.0%
Dash Punctuation 1471
 
0.7%
Open Punctuation 226
 
0.1%
Close Punctuation 223
 
0.1%
Math Symbol 182
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 17509
11.0%
o 16508
10.4%
n 13857
 
8.7%
t 13139
 
8.3%
i 13058
 
8.2%
a 11711
 
7.4%
s 10715
 
6.7%
r 10033
 
6.3%
d 7798
 
4.9%
l 6685
 
4.2%
Other values (18) 37818
23.8%
Uppercase Letter
ValueCountFrequency (%)
F 1729
15.8%
C 1287
11.8%
S 1241
11.4%
T 966
8.8%
D 625
 
5.7%
R 604
 
5.5%
H 561
 
5.1%
P 546
 
5.0%
O 532
 
4.9%
E 516
 
4.7%
Other values (14) 2315
21.2%
Other Punctuation
ValueCountFrequency (%)
* 4952
56.0%
, 1863
 
21.1%
/ 971
 
11.0%
. 518
 
5.9%
& 231
 
2.6%
: 203
 
2.3%
' 70
 
0.8%
? 14
 
0.2%
; 6
 
0.1%
" 6
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 2134
18.1%
1 2073
17.6%
2 1939
16.5%
3 1700
14.4%
0 1160
9.8%
5 777
 
6.6%
9 696
 
5.9%
7 533
 
4.5%
8 427
 
3.6%
6 348
 
3.0%
Math Symbol
ValueCountFrequency (%)
> 140
76.9%
< 22
 
12.1%
= 13
 
7.1%
+ 7
 
3.8%
Space Separator
ValueCountFrequency (%)
30946
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1471
100.0%
Open Punctuation
ValueCountFrequency (%)
( 226
100.0%
Close Punctuation
ValueCountFrequency (%)
) 223
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 169753
76.0%
Common 53672
 
24.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 17509
 
10.3%
o 16508
 
9.7%
n 13857
 
8.2%
t 13139
 
7.7%
i 13058
 
7.7%
a 11711
 
6.9%
s 10715
 
6.3%
r 10033
 
5.9%
d 7798
 
4.6%
l 6685
 
3.9%
Other values (42) 48740
28.7%
Common
ValueCountFrequency (%)
30946
57.7%
* 4952
 
9.2%
4 2134
 
4.0%
1 2073
 
3.9%
2 1939
 
3.6%
, 1863
 
3.5%
3 1700
 
3.2%
- 1471
 
2.7%
0 1160
 
2.2%
/ 971
 
1.8%
Other values (19) 4463
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 223051
99.8%
None 374
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30946
 
13.9%
e 17509
 
7.8%
o 16508
 
7.4%
n 13857
 
6.2%
t 13139
 
5.9%
i 13058
 
5.9%
a 11711
 
5.3%
s 10715
 
4.8%
r 10033
 
4.5%
d 7798
 
3.5%
Other values (69) 77777
34.9%
None
ValueCountFrequency (%)
ø 364
97.3%
õ 10
 
2.7%

Violation Points - 2
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.1%
Missing1756
Missing (%)26.2%
Memory size52.5 KiB
1.0
2042 
3.0
1511 
2.0
1399 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters14856
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 2042
30.4%
3.0 1511
22.5%
2.0 1399
20.9%
(Missing) 1756
26.2%

Length

2024-02-15T22:49:48.558100image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:49:48.938872image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 2042
41.2%
3.0 1511
30.5%
2.0 1399
28.3%

Most occurring characters

ValueCountFrequency (%)
. 4952
33.3%
0 4952
33.3%
1 2042
13.7%
3 1511
 
10.2%
2 1399
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9904
66.7%
Other Punctuation 4952
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4952
50.0%
1 2042
20.6%
3 1511
 
15.3%
2 1399
 
14.1%
Other Punctuation
ValueCountFrequency (%)
. 4952
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14856
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4952
33.3%
0 4952
33.3%
1 2042
13.7%
3 1511
 
10.2%
2 1399
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14856
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4952
33.3%
0 4952
33.3%
1 2042
13.7%
3 1511
 
10.2%
2 1399
 
9.4%

Violation Detail - 2
Text

MISSING 

Distinct337
Distinct (%)6.9%
Missing1806
Missing (%)26.9%
Memory size52.5 KiB
2024-02-15T22:49:49.526427image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length910
Median length675
Mean length371.36373
Min length125

Characters and Unicode

Total characters1820425
Distinct characters73
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique101 ?
Unique (%)2.1%

Sample

1st row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
2nd row228.83 Food. Donation of foods. (e) Damaged foods. Heavily rim or seam-dented canned foods, or packaged foods without the manufacturer#s complete labeling, shall not be donated.
3rd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (e) The food establishment shall maintain on premises a certificate of completion of the food handler training course for each food employee. The requirement to complete a food handler training course shall be effective September 1, 2016.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat TCS food, date marking. (4) A date marking system that meets the criteria stated in paragraphs (1) and (2) of this subsection may include: (B) marking the date or day of preparation, with a procedure to discard the food on or before the last date or day by which the food must be consumed on the premises, sold, or discarded as specified in paragraph (1) of this subsection;
5th row(c) Floors, walls, and ceilings. (1) A food establishment containing a food handling area, food processing area, food preparation area, food storage area, equipment or utensil washing area, walk-in refrigerating unit, dressing room, locker room, toilet room, or vestibule shall: (C) prevent exposed construction in these areas, including but not limited to the exposure of pipes, conduits, ductwork, studs, joists, and rafters;
ValueCountFrequency (%)
and 14009
 
5.6%
food 10042
 
4.0%
of 8576
 
3.4%
the 8241
 
3.3%
a 6767
 
2.7%
in 5625
 
2.2%
shall 5567
 
2.2%
be 4936
 
2.0%
equipment 4892
 
1.9%
or 4690
 
1.9%
Other values (1919) 178747
70.9%
2024-02-15T22:49:50.597236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
371129
20.4%
e 155002
 
8.5%
a 106884
 
5.9%
n 105107
 
5.8%
i 104846
 
5.8%
t 103317
 
5.7%
o 98147
 
5.4%
s 96976
 
5.3%
r 73295
 
4.0%
d 61468
 
3.4%
Other values (63) 544254
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1278181
70.2%
Space Separator 371129
 
20.4%
Other Punctuation 50597
 
2.8%
Decimal Number 43721
 
2.4%
Uppercase Letter 38870
 
2.1%
Close Punctuation 15863
 
0.9%
Open Punctuation 15742
 
0.9%
Dash Punctuation 6320
 
0.3%
Currency Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 155002
12.1%
a 106884
 
8.4%
n 105107
 
8.2%
i 104846
 
8.2%
t 103317
 
8.1%
o 98147
 
7.7%
s 96976
 
7.6%
r 73295
 
5.7%
d 61468
 
4.8%
l 54234
 
4.2%
Other values (17) 318905
24.9%
Uppercase Letter
ValueCountFrequency (%)
E 4814
12.4%
F 4421
11.4%
C 3919
10.1%
P 3841
9.9%
T 2827
 
7.3%
A 2720
 
7.0%
S 2627
 
6.8%
L 2041
 
5.3%
U 1997
 
5.1%
R 1875
 
4.8%
Other values (14) 7788
20.0%
Decimal Number
ValueCountFrequency (%)
2 14981
34.3%
1 9888
22.6%
8 6374
14.6%
7 2508
 
5.7%
5 2217
 
5.1%
4 2133
 
4.9%
6 1933
 
4.4%
3 1907
 
4.4%
0 1217
 
2.8%
9 563
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 23166
45.8%
, 22155
43.8%
: 2436
 
4.8%
; 2073
 
4.1%
/ 472
 
0.9%
' 164
 
0.3%
# 131
 
0.3%
Space Separator
ValueCountFrequency (%)
371129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15863
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15742
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6320
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1317051
72.3%
Common 503374
 
27.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 155002
11.8%
a 106884
 
8.1%
n 105107
 
8.0%
i 104846
 
8.0%
t 103317
 
7.8%
o 98147
 
7.5%
s 96976
 
7.4%
r 73295
 
5.6%
d 61468
 
4.7%
l 54234
 
4.1%
Other values (41) 357775
27.2%
Common
ValueCountFrequency (%)
371129
73.7%
. 23166
 
4.6%
, 22155
 
4.4%
) 15863
 
3.2%
( 15742
 
3.1%
2 14981
 
3.0%
1 9888
 
2.0%
8 6374
 
1.3%
- 6320
 
1.3%
7 2508
 
0.5%
Other values (12) 15248
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1819425
99.9%
None 1000
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
371129
20.4%
e 155002
 
8.5%
a 106884
 
5.9%
n 105107
 
5.8%
i 104846
 
5.8%
t 103317
 
5.7%
o 98147
 
5.4%
s 96976
 
5.3%
r 73295
 
4.0%
d 61468
 
3.4%
Other values (62) 543254
29.9%
None
ValueCountFrequency (%)
õ 1000
100.0%

Violation Memo - 2
Text

MISSING 

Distinct3435
Distinct (%)90.6%
Missing2918
Missing (%)43.5%
Memory size52.5 KiB
2024-02-15T22:49:51.122823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length892
Median length224
Mean length49.727441
Min length2

Characters and Unicode

Total characters188467
Distinct characters86
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3261 ?
Unique (%)86.0%

Sample

1st rowdust accumulation on the fan covers inside the walk in cooler
2nd row7 dented cans removed from shelf
3rd rowEXPIRED FOOD PRODUCTS REMOVED FROM SHELVES
4th rowMUST REGISTER BY 9/17/18
5th rowObserved rinsing personal coffee mug in hand sink
ValueCountFrequency (%)
in 1008
 
3.1%
the 677
 
2.1%
on 617
 
1.9%
and 595
 
1.9%
clean 565
 
1.8%
food 563
 
1.8%
to 528
 
1.6%
of 495
 
1.5%
at 444
 
1.4%
be 374
 
1.2%
Other values (2752) 26165
81.7%
2024-02-15T22:49:51.980900image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30135
 
16.0%
e 14025
 
7.4%
o 9952
 
5.3%
a 8831
 
4.7%
n 8811
 
4.7%
i 8734
 
4.6%
t 8439
 
4.5%
r 7864
 
4.2%
s 7798
 
4.1%
d 5246
 
2.8%
Other values (76) 78632
41.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 113775
60.4%
Uppercase Letter 39330
 
20.9%
Space Separator 30135
 
16.0%
Other Punctuation 2214
 
1.2%
Decimal Number 2204
 
1.2%
Close Punctuation 269
 
0.1%
Dash Punctuation 258
 
0.1%
Open Punctuation 252
 
0.1%
Math Symbol 27
 
< 0.1%
Final Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 14025
12.3%
o 9952
 
8.7%
a 8831
 
7.8%
n 8811
 
7.7%
i 8734
 
7.7%
t 8439
 
7.4%
r 7864
 
6.9%
s 7798
 
6.9%
d 5246
 
4.6%
l 5185
 
4.6%
Other values (16) 28890
25.4%
Uppercase Letter
ValueCountFrequency (%)
E 4784
12.2%
O 3460
 
8.8%
R 3069
 
7.8%
I 2829
 
7.2%
A 2786
 
7.1%
N 2722
 
6.9%
T 2698
 
6.9%
S 2542
 
6.5%
D 1926
 
4.9%
C 1806
 
4.6%
Other values (16) 10708
27.2%
Other Punctuation
ValueCountFrequency (%)
. 1137
51.4%
, 531
24.0%
/ 205
 
9.3%
; 88
 
4.0%
' 60
 
2.7%
: 52
 
2.3%
" 46
 
2.1%
* 44
 
2.0%
& 25
 
1.1%
@ 14
 
0.6%
Other values (3) 12
 
0.5%
Decimal Number
ValueCountFrequency (%)
1 437
19.8%
0 389
17.6%
2 246
11.2%
4 246
11.2%
5 210
9.5%
3 163
 
7.4%
6 156
 
7.1%
7 151
 
6.9%
9 117
 
5.3%
8 89
 
4.0%
Math Symbol
ValueCountFrequency (%)
< 15
55.6%
> 11
40.7%
= 1
 
3.7%
Close Punctuation
ValueCountFrequency (%)
) 268
99.6%
] 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 251
99.6%
[ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
30135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 153105
81.2%
Common 35362
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 14025
 
9.2%
o 9952
 
6.5%
a 8831
 
5.8%
n 8811
 
5.8%
i 8734
 
5.7%
t 8439
 
5.5%
r 7864
 
5.1%
s 7798
 
5.1%
d 5246
 
3.4%
l 5185
 
3.4%
Other values (42) 68220
44.6%
Common
ValueCountFrequency (%)
30135
85.2%
. 1137
 
3.2%
, 531
 
1.5%
1 437
 
1.2%
0 389
 
1.1%
) 268
 
0.8%
- 258
 
0.7%
( 251
 
0.7%
2 246
 
0.7%
4 246
 
0.7%
Other values (24) 1464
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 188464
> 99.9%
Punctuation 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30135
 
16.0%
e 14025
 
7.4%
o 9952
 
5.3%
a 8831
 
4.7%
n 8811
 
4.7%
i 8734
 
4.6%
t 8439
 
4.5%
r 7864
 
4.2%
s 7798
 
4.1%
d 5246
 
2.8%
Other values (74) 78629
41.7%
Punctuation
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
° 1
100.0%
Distinct327
Distinct (%)8.0%
Missing2609
Missing (%)38.9%
Memory size52.5 KiB
2024-02-15T22:49:52.405074image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length83
Mean length44.848988
Min length12

Characters and Unicode

Total characters183836
Distinct characters81
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)2.7%

Sample

1st row*36 Containers of chemical sanitizing solutions stored off the floor and used in a manner that preve
2nd row*24 Food Label- manufacture/packer/distrubtor name
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*45 Premises shall be maintained in good repair
5th row*02 Cold Hold (41øF/45øF or below)
ValueCountFrequency (%)
food 1010
 
3.4%
857
 
2.9%
in 486
 
1.7%
or 469
 
1.6%
and 443
 
1.5%
not 384
 
1.3%
to 322
 
1.1%
for 302
 
1.0%
the 301
 
1.0%
equipment 300
 
1.0%
Other values (822) 24446
83.4%
2024-02-15T22:49:53.575227image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25668
 
14.0%
e 14351
 
7.8%
o 13667
 
7.4%
n 11145
 
6.1%
t 10777
 
5.9%
i 10681
 
5.8%
a 9262
 
5.0%
s 9050
 
4.9%
r 8284
 
4.5%
d 6207
 
3.4%
Other values (71) 64744
35.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 130143
70.8%
Space Separator 25668
 
14.0%
Decimal Number 10002
 
5.4%
Uppercase Letter 8873
 
4.8%
Other Punctuation 7353
 
4.0%
Dash Punctuation 1176
 
0.6%
Open Punctuation 232
 
0.1%
Close Punctuation 231
 
0.1%
Math Symbol 158
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 14351
11.0%
o 13667
10.5%
n 11145
 
8.6%
t 10777
 
8.3%
i 10681
 
8.2%
a 9262
 
7.1%
s 9050
 
7.0%
r 8284
 
6.4%
d 6207
 
4.8%
l 5447
 
4.2%
Other values (18) 31272
24.0%
Uppercase Letter
ValueCountFrequency (%)
F 1417
16.0%
C 1030
11.6%
S 979
11.0%
T 725
 
8.2%
D 531
 
6.0%
R 496
 
5.6%
P 484
 
5.5%
H 466
 
5.3%
O 446
 
5.0%
E 420
 
4.7%
Other values (13) 1879
21.2%
Other Punctuation
ValueCountFrequency (%)
* 4099
55.7%
, 1601
 
21.8%
/ 797
 
10.8%
. 409
 
5.6%
: 193
 
2.6%
& 161
 
2.2%
' 67
 
0.9%
? 8
 
0.1%
" 8
 
0.1%
; 5
 
0.1%
Other values (2) 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 1932
19.3%
1 1685
16.8%
2 1666
16.7%
3 1507
15.1%
0 822
8.2%
5 703
 
7.0%
9 545
 
5.4%
7 460
 
4.6%
8 381
 
3.8%
6 301
 
3.0%
Math Symbol
ValueCountFrequency (%)
> 132
83.5%
= 13
 
8.2%
< 7
 
4.4%
+ 6
 
3.8%
Space Separator
ValueCountFrequency (%)
25668
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1176
100.0%
Open Punctuation
ValueCountFrequency (%)
( 232
100.0%
Close Punctuation
ValueCountFrequency (%)
) 231
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 139016
75.6%
Common 44820
 
24.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 14351
 
10.3%
o 13667
 
9.8%
n 11145
 
8.0%
t 10777
 
7.8%
i 10681
 
7.7%
a 9262
 
6.7%
s 9050
 
6.5%
r 8284
 
6.0%
d 6207
 
4.5%
l 5447
 
3.9%
Other values (41) 40145
28.9%
Common
ValueCountFrequency (%)
25668
57.3%
* 4099
 
9.1%
4 1932
 
4.3%
1 1685
 
3.8%
2 1666
 
3.7%
, 1601
 
3.6%
3 1507
 
3.4%
- 1176
 
2.6%
0 822
 
1.8%
/ 797
 
1.8%
Other values (20) 3867
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 183503
99.8%
None 333
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25668
 
14.0%
e 14351
 
7.8%
o 13667
 
7.4%
n 11145
 
6.1%
t 10777
 
5.9%
i 10681
 
5.8%
a 9262
 
5.0%
s 9050
 
4.9%
r 8284
 
4.5%
d 6207
 
3.4%
Other values (68) 64411
35.1%
None
ValueCountFrequency (%)
ø 323
97.0%
õ 9
 
2.7%
§ 1
 
0.3%

Violation Points - 3
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.1%
Missing2609
Missing (%)38.9%
Memory size52.5 KiB
1.0
1847 
2.0
1161 
3.0
1091 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters12297
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 1847
27.5%
2.0 1161
17.3%
3.0 1091
16.3%
(Missing) 2609
38.9%

Length

2024-02-15T22:49:53.852403image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:49:54.104570image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1847
45.1%
2.0 1161
28.3%
3.0 1091
26.6%

Most occurring characters

ValueCountFrequency (%)
. 4099
33.3%
0 4099
33.3%
1 1847
15.0%
2 1161
 
9.4%
3 1091
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8198
66.7%
Other Punctuation 4099
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4099
50.0%
1 1847
22.5%
2 1161
 
14.2%
3 1091
 
13.3%
Other Punctuation
ValueCountFrequency (%)
. 4099
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4099
33.3%
0 4099
33.3%
1 1847
15.0%
2 1161
 
9.4%
3 1091
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4099
33.3%
0 4099
33.3%
1 1847
15.0%
2 1161
 
9.4%
3 1091
 
8.9%

Violation Detail - 3
Text

MISSING 

Distinct332
Distinct (%)8.2%
Missing2648
Missing (%)39.5%
Memory size52.5 KiB
2024-02-15T22:49:54.507864image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length910
Median length672
Mean length376.72389
Min length62

Characters and Unicode

Total characters1529499
Distinct characters72
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)2.8%

Sample

1st row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (5) containers of chemical sanitizing solutions specified in paragraph (2)(A) of this subsection in which wet wiping cloths are held between uses shall be stored off the floor and used in a manner that prevents contamination of food, equipment, utensils, linens, single-service, or single-use articles. .
2nd row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (D) the name and place of business of the manufacturer, packer, or distributor; and
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
5th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
ValueCountFrequency (%)
and 11675
 
5.5%
food 8619
 
4.1%
of 7145
 
3.4%
the 7072
 
3.3%
a 5665
 
2.7%
in 4805
 
2.3%
shall 4632
 
2.2%
be 4099
 
1.9%
or 4001
 
1.9%
equipment 3888
 
1.8%
Other values (1854) 150793
71.0%
2024-02-15T22:49:55.311219image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310876
20.3%
e 131179
 
8.6%
a 89531
 
5.9%
i 89034
 
5.8%
n 88158
 
5.8%
t 86492
 
5.7%
o 82365
 
5.4%
s 82272
 
5.4%
r 61754
 
4.0%
d 51452
 
3.4%
Other values (62) 456386
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1075453
70.3%
Space Separator 310876
 
20.3%
Other Punctuation 42414
 
2.8%
Decimal Number 36205
 
2.4%
Uppercase Letter 32549
 
2.1%
Close Punctuation 13427
 
0.9%
Open Punctuation 13336
 
0.9%
Dash Punctuation 5239
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 131179
12.2%
a 89531
 
8.3%
i 89034
 
8.3%
n 88158
 
8.2%
t 86492
 
8.0%
o 82365
 
7.7%
s 82272
 
7.6%
r 61754
 
5.7%
d 51452
 
4.8%
l 45558
 
4.2%
Other values (17) 267658
24.9%
Uppercase Letter
ValueCountFrequency (%)
E 3945
12.1%
F 3769
11.6%
P 3303
10.1%
C 3201
9.8%
T 2431
 
7.5%
S 2242
 
6.9%
A 2196
 
6.7%
L 1650
 
5.1%
R 1633
 
5.0%
U 1590
 
4.9%
Other values (14) 6589
20.2%
Decimal Number
ValueCountFrequency (%)
2 12438
34.4%
1 7967
22.0%
8 5248
14.5%
7 2077
 
5.7%
5 1926
 
5.3%
4 1881
 
5.2%
6 1657
 
4.6%
3 1580
 
4.4%
0 979
 
2.7%
9 452
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 19199
45.3%
, 18697
44.1%
: 2026
 
4.8%
; 1831
 
4.3%
/ 438
 
1.0%
' 130
 
0.3%
# 93
 
0.2%
Space Separator
ValueCountFrequency (%)
310876
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13427
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5239
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1108002
72.4%
Common 421497
 
27.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 131179
11.8%
a 89531
 
8.1%
i 89034
 
8.0%
n 88158
 
8.0%
t 86492
 
7.8%
o 82365
 
7.4%
s 82272
 
7.4%
r 61754
 
5.6%
d 51452
 
4.6%
l 45558
 
4.1%
Other values (41) 300207
27.1%
Common
ValueCountFrequency (%)
310876
73.8%
. 19199
 
4.6%
, 18697
 
4.4%
) 13427
 
3.2%
( 13336
 
3.2%
2 12438
 
3.0%
1 7967
 
1.9%
8 5248
 
1.2%
- 5239
 
1.2%
7 2077
 
0.5%
Other values (11) 12993
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1528721
99.9%
None 778
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310876
20.3%
e 131179
 
8.6%
a 89531
 
5.9%
i 89034
 
5.8%
n 88158
 
5.8%
t 86492
 
5.7%
o 82365
 
5.4%
s 82272
 
5.4%
r 61754
 
4.0%
d 51452
 
3.4%
Other values (61) 455608
29.8%
None
ValueCountFrequency (%)
õ 778
100.0%

Violation Memo - 3
Text

MISSING 

Distinct2833
Distinct (%)90.6%
Missing3580
Missing (%)53.4%
Memory size52.5 KiB
2024-02-15T22:49:55.868910image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1551
Median length197
Mean length50.837276
Min length3

Characters and Unicode

Total characters159019
Distinct characters87
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2676 ?
Unique (%)85.5%

Sample

1st rowFOOD PRODUCTS NOT PACKAGED FOR RESALE BEING SOLD
2nd rowCLEAN ALL
3rd rowdish washer
4th rowObserved frozen berries and chicken patties thawing in bags on prep table at ambient temperature. When thawing foods, use refrigeration or completely submerge under cool running water
5th rowHeimlich maneuver sign SEC. 17-11.2. ADDITIONAL REQUIREMENTS. (a) General. All food establishments that provide dining areas shall post the Heimlich maneuver sign in a place conspicuous to employees and customers. (b) Specifications: The sign shall: (1) be no smaller than 11 inches wide by 17 inches long; (2) be printed in English and Spanish and in at least two conspicuous contrasting colors on a white background; (3) provide major title and figure blocks in contrasting color to remaining copy blocks; (4) provide major headings with a minimum bold 72 point font; (5) provide initial subheadings with a minimum bold italic 60 point font; (6) provide secondary subheadings with a minimum bold 24 point font; and (7) provide a body copy in bold 14 point font.
ValueCountFrequency (%)
in 880
 
3.3%
the 634
 
2.4%
on 505
 
1.9%
food 497
 
1.9%
and 496
 
1.9%
to 428
 
1.6%
clean 418
 
1.6%
of 416
 
1.6%
at 329
 
1.2%
be 318
 
1.2%
Other values (2496) 21768
81.6%
2024-02-15T22:49:56.782722image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25434
 
16.0%
e 11496
 
7.2%
o 8139
 
5.1%
a 7270
 
4.6%
n 7009
 
4.4%
i 6962
 
4.4%
t 6905
 
4.3%
r 6533
 
4.1%
s 6450
 
4.1%
d 4303
 
2.7%
Other values (77) 68518
43.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 92939
58.4%
Uppercase Letter 35195
 
22.1%
Space Separator 25434
 
16.0%
Other Punctuation 1946
 
1.2%
Decimal Number 1817
 
1.1%
Dash Punctuation 1244
 
0.8%
Close Punctuation 212
 
0.1%
Open Punctuation 198
 
0.1%
Math Symbol 28
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 11496
12.4%
o 8139
 
8.8%
a 7270
 
7.8%
n 7009
 
7.5%
i 6962
 
7.5%
t 6905
 
7.4%
r 6533
 
7.0%
s 6450
 
6.9%
d 4303
 
4.6%
l 4184
 
4.5%
Other values (17) 23688
25.5%
Uppercase Letter
ValueCountFrequency (%)
E 4289
12.2%
O 3199
 
9.1%
R 2800
 
8.0%
I 2524
 
7.2%
N 2493
 
7.1%
T 2462
 
7.0%
A 2461
 
7.0%
S 2286
 
6.5%
D 1716
 
4.9%
L 1593
 
4.5%
Other values (16) 9372
26.6%
Other Punctuation
ValueCountFrequency (%)
. 975
50.1%
, 491
25.2%
/ 191
 
9.8%
; 81
 
4.2%
: 47
 
2.4%
' 41
 
2.1%
* 37
 
1.9%
" 31
 
1.6%
& 25
 
1.3%
? 15
 
0.8%
Other values (3) 12
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 313
17.2%
0 274
15.1%
4 221
12.2%
2 202
11.1%
5 192
10.6%
3 160
8.8%
7 144
7.9%
6 137
7.5%
9 101
 
5.6%
8 73
 
4.0%
Math Symbol
ValueCountFrequency (%)
< 14
50.0%
> 7
25.0%
= 3
 
10.7%
+ 3
 
10.7%
~ 1
 
3.6%
Space Separator
ValueCountFrequency (%)
25434
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 212
100.0%
Open Punctuation
ValueCountFrequency (%)
( 198
100.0%
Other Symbol
ValueCountFrequency (%)
° 4
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 128134
80.6%
Common 30885
 
19.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 11496
 
9.0%
o 8139
 
6.4%
a 7270
 
5.7%
n 7009
 
5.5%
i 6962
 
5.4%
t 6905
 
5.4%
r 6533
 
5.1%
s 6450
 
5.0%
d 4303
 
3.4%
E 4289
 
3.3%
Other values (43) 58778
45.9%
Common
ValueCountFrequency (%)
25434
82.4%
- 1244
 
4.0%
. 975
 
3.2%
, 491
 
1.6%
1 313
 
1.0%
0 274
 
0.9%
4 221
 
0.7%
) 212
 
0.7%
2 202
 
0.7%
( 198
 
0.6%
Other values (24) 1321
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 159012
> 99.9%
None 5
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25434
 
16.0%
e 11496
 
7.2%
o 8139
 
5.1%
a 7270
 
4.6%
n 7009
 
4.4%
i 6962
 
4.4%
t 6905
 
4.3%
r 6533
 
4.1%
s 6450
 
4.1%
d 4303
 
2.7%
Other values (74) 68511
43.1%
None
ValueCountFrequency (%)
° 4
80.0%
ó 1
 
20.0%
Punctuation
ValueCountFrequency (%)
2
100.0%
Distinct297
Distinct (%)8.9%
Missing3374
Missing (%)50.3%
Memory size52.5 KiB
2024-02-15T22:49:57.247369image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length83
Mean length45.347331
Min length12

Characters and Unicode

Total characters151188
Distinct characters80
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique85 ?
Unique (%)2.5%

Sample

1st row*39 In-use utensils, between-use storage. During pauses in food preparation or dispensing, food prep
2nd row*10 Clean Sight and Touch
3rd row*39 Cups may be reused if free of contamination
4th row*28 Date marking > 24 hrs,on site,temp 41F
5th row*19 No Hot Water / Water heater 50 gallon min.
ValueCountFrequency (%)
food 830
 
3.5%
667
 
2.8%
in 430
 
1.8%
or 409
 
1.7%
and 385
 
1.6%
of 295
 
1.2%
equipment 292
 
1.2%
for 284
 
1.2%
not 281
 
1.2%
good 226
 
0.9%
Other values (786) 19765
82.8%
2024-02-15T22:49:58.331949image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20860
 
13.8%
e 12004
 
7.9%
o 11125
 
7.4%
n 9472
 
6.3%
i 9171
 
6.1%
t 8729
 
5.8%
s 7628
 
5.0%
a 7601
 
5.0%
r 6854
 
4.5%
d 5108
 
3.4%
Other values (70) 52636
34.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 108026
71.5%
Space Separator 20860
 
13.8%
Decimal Number 8052
 
5.3%
Uppercase Letter 6922
 
4.6%
Other Punctuation 5863
 
3.9%
Dash Punctuation 991
 
0.7%
Math Symbol 161
 
0.1%
Open Punctuation 157
 
0.1%
Close Punctuation 156
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 12004
11.1%
o 11125
10.3%
n 9472
 
8.8%
i 9171
 
8.5%
t 8729
 
8.1%
s 7628
 
7.1%
a 7601
 
7.0%
r 6854
 
6.3%
d 5108
 
4.7%
l 4419
 
4.1%
Other values (18) 25915
24.0%
Uppercase Letter
ValueCountFrequency (%)
F 1100
15.9%
C 828
12.0%
S 711
10.3%
T 551
 
8.0%
D 460
 
6.6%
P 407
 
5.9%
H 373
 
5.4%
E 364
 
5.3%
R 357
 
5.2%
O 324
 
4.7%
Other values (13) 1447
20.9%
Other Punctuation
ValueCountFrequency (%)
* 3332
56.8%
, 1328
 
22.7%
/ 522
 
8.9%
. 350
 
6.0%
& 140
 
2.4%
: 134
 
2.3%
' 44
 
0.8%
? 8
 
0.1%
" 2
 
< 0.1%
# 2
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
4 1563
19.4%
3 1339
16.6%
2 1279
15.9%
1 1267
15.7%
0 615
 
7.6%
5 562
 
7.0%
9 436
 
5.4%
7 405
 
5.0%
8 310
 
3.8%
6 276
 
3.4%
Math Symbol
ValueCountFrequency (%)
> 125
77.6%
< 25
 
15.5%
= 8
 
5.0%
+ 3
 
1.9%
Space Separator
ValueCountFrequency (%)
20860
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 991
100.0%
Open Punctuation
ValueCountFrequency (%)
( 157
100.0%
Close Punctuation
ValueCountFrequency (%)
) 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 114948
76.0%
Common 36240
 
24.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 12004
 
10.4%
o 11125
 
9.7%
n 9472
 
8.2%
i 9171
 
8.0%
t 8729
 
7.6%
s 7628
 
6.6%
a 7601
 
6.6%
r 6854
 
6.0%
d 5108
 
4.4%
l 4419
 
3.8%
Other values (41) 32837
28.6%
Common
ValueCountFrequency (%)
20860
57.6%
* 3332
 
9.2%
4 1563
 
4.3%
3 1339
 
3.7%
, 1328
 
3.7%
2 1279
 
3.5%
1 1267
 
3.5%
- 991
 
2.7%
0 615
 
1.7%
5 562
 
1.6%
Other values (19) 3104
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150919
99.8%
None 269
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20860
 
13.8%
e 12004
 
8.0%
o 11125
 
7.4%
n 9472
 
6.3%
i 9171
 
6.1%
t 8729
 
5.8%
s 7628
 
5.1%
a 7601
 
5.0%
r 6854
 
4.5%
d 5108
 
3.4%
Other values (68) 52367
34.7%
None
ValueCountFrequency (%)
ø 258
95.9%
õ 11
 
4.1%

Violation Points - 4
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.1%
Missing3374
Missing (%)50.3%
Memory size52.5 KiB
1.0
1607 
2.0
915 
3.0
812 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters10002
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 1607
24.0%
2.0 915
 
13.6%
3.0 812
 
12.1%
(Missing) 3374
50.3%

Length

2024-02-15T22:49:58.760155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:49:59.205008image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1607
48.2%
2.0 915
27.4%
3.0 812
24.4%

Most occurring characters

ValueCountFrequency (%)
. 3334
33.3%
0 3334
33.3%
1 1607
16.1%
2 915
 
9.1%
3 812
 
8.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6668
66.7%
Other Punctuation 3334
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3334
50.0%
1 1607
24.1%
2 915
 
13.7%
3 812
 
12.2%
Other Punctuation
ValueCountFrequency (%)
. 3334
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10002
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3334
33.3%
0 3334
33.3%
1 1607
16.1%
2 915
 
9.1%
3 812
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10002
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3334
33.3%
0 3334
33.3%
1 1607
16.1%
2 915
 
9.1%
3 812
 
8.1%

Violation Detail - 4
Text

MISSING 

Distinct301
Distinct (%)9.1%
Missing3417
Missing (%)50.9%
Memory size52.5 KiB
2024-02-15T22:49:59.946924image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length888
Median length666
Mean length369.96293
Min length125

Characters and Unicode

Total characters1217548
Distinct characters72
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)2.6%

Sample

1st row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (b) In-use utensils, between-use storage. During pauses in food preparation or dispensing, food preparation and dispensing utensils shall be stored: (5) in a clean, protected location if the utensils, such as ice scoops, are used only with a food that is not TCS; or
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
3rd row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (f) Using clean tableware for second portions and refills. (3) Drinking cups and containers may be reused by self-service consumers if refilling is a contamination-free process as specified in õ228.106(1), (2), and (4) of this title.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
5th rowSEC. 17-5.2. ADDITIONAL REQUIREMENTS. (b) Hot water. Hot water generation and distribution systems must be sufficient to meet the peak hot water demands throughout the food establishment. Such systems must be of not less than 50-gallon water tank capacity.
ValueCountFrequency (%)
and 9229
 
5.5%
food 6624
 
3.9%
of 5762
 
3.4%
the 5605
 
3.3%
a 4578
 
2.7%
in 3868
 
2.3%
shall 3725
 
2.2%
be 3332
 
2.0%
or 3281
 
1.9%
equipment 3060
 
1.8%
Other values (1810) 119784
70.9%
2024-02-15T22:50:01.289511image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248939
20.4%
e 103804
 
8.5%
i 71450
 
5.9%
a 70636
 
5.8%
n 70314
 
5.8%
t 69275
 
5.7%
o 65901
 
5.4%
s 65620
 
5.4%
r 49119
 
4.0%
d 40568
 
3.3%
Other values (62) 361922
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 854561
70.2%
Space Separator 248939
 
20.4%
Other Punctuation 34199
 
2.8%
Decimal Number 29284
 
2.4%
Uppercase Letter 25707
 
2.1%
Close Punctuation 10435
 
0.9%
Open Punctuation 10362
 
0.9%
Dash Punctuation 4061
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 103804
12.1%
i 71450
 
8.4%
a 70636
 
8.3%
n 70314
 
8.2%
t 69275
 
8.1%
o 65901
 
7.7%
s 65620
 
7.7%
r 49119
 
5.7%
d 40568
 
4.7%
l 36530
 
4.3%
Other values (17) 211344
24.7%
Uppercase Letter
ValueCountFrequency (%)
F 3145
12.2%
E 3107
12.1%
C 2624
10.2%
P 2623
10.2%
T 1917
 
7.5%
A 1718
 
6.7%
S 1685
 
6.6%
L 1361
 
5.3%
U 1329
 
5.2%
R 1169
 
4.5%
Other values (14) 5029
19.6%
Decimal Number
ValueCountFrequency (%)
2 10168
34.7%
1 6311
21.6%
8 4371
14.9%
7 1723
 
5.9%
5 1614
 
5.5%
4 1484
 
5.1%
6 1251
 
4.3%
3 1197
 
4.1%
0 807
 
2.8%
9 358
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 15441
45.2%
, 15088
44.1%
: 1625
 
4.8%
; 1551
 
4.5%
/ 346
 
1.0%
# 74
 
0.2%
' 74
 
0.2%
Space Separator
ValueCountFrequency (%)
248939
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10435
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10362
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4061
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 880268
72.3%
Common 337280
 
27.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 103804
11.8%
i 71450
 
8.1%
a 70636
 
8.0%
n 70314
 
8.0%
t 69275
 
7.9%
o 65901
 
7.5%
s 65620
 
7.5%
r 49119
 
5.6%
d 40568
 
4.6%
l 36530
 
4.1%
Other values (41) 237051
26.9%
Common
ValueCountFrequency (%)
248939
73.8%
. 15441
 
4.6%
, 15088
 
4.5%
) 10435
 
3.1%
( 10362
 
3.1%
2 10168
 
3.0%
1 6311
 
1.9%
8 4371
 
1.3%
- 4061
 
1.2%
7 1723
 
0.5%
Other values (11) 10381
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1216871
99.9%
None 677
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248939
20.5%
e 103804
 
8.5%
i 71450
 
5.9%
a 70636
 
5.8%
n 70314
 
5.8%
t 69275
 
5.7%
o 65901
 
5.4%
s 65620
 
5.4%
r 49119
 
4.0%
d 40568
 
3.3%
Other values (61) 361245
29.7%
None
ValueCountFrequency (%)
õ 677
100.0%

Violation Memo - 4
Text

MISSING 

Distinct2396
Distinct (%)92.4%
Missing4116
Missing (%)61.4%
Memory size52.5 KiB
2024-02-15T22:50:02.155463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1393
Median length185
Mean length49.895062
Min length3

Characters and Unicode

Total characters129328
Distinct characters87
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2286 ?
Unique (%)88.2%

Sample

1st rowCLEAN ALL
2nd rowProvide date marking for the chicken and ham
3rd rowFix leak underneath 3 comp. sink
4th rowwet wiping cloth shall be stored in sanitizer bucket
5th rowhealth permit not posted
ValueCountFrequency (%)
in 699
 
3.2%
the 499
 
2.3%
food 460
 
2.1%
on 423
 
1.9%
and 383
 
1.8%
clean 315
 
1.4%
of 309
 
1.4%
to 284
 
1.3%
at 267
 
1.2%
be 263
 
1.2%
Other values (2294) 17876
82.1%
2024-02-15T22:50:03.643166image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20415
 
15.8%
e 9324
 
7.2%
o 6629
 
5.1%
a 5859
 
4.5%
n 5809
 
4.5%
i 5720
 
4.4%
t 5611
 
4.3%
s 5395
 
4.2%
r 5320
 
4.1%
E 3600
 
2.8%
Other values (77) 55646
43.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 75714
58.5%
Uppercase Letter 29376
 
22.7%
Space Separator 20415
 
15.8%
Other Punctuation 1510
 
1.2%
Decimal Number 1297
 
1.0%
Dash Punctuation 691
 
0.5%
Close Punctuation 155
 
0.1%
Open Punctuation 154
 
0.1%
Math Symbol 13
 
< 0.1%
Final Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 9324
12.3%
o 6629
 
8.8%
a 5859
 
7.7%
n 5809
 
7.7%
i 5720
 
7.6%
t 5611
 
7.4%
s 5395
 
7.1%
r 5320
 
7.0%
d 3449
 
4.6%
l 3436
 
4.5%
Other values (17) 19162
25.3%
Uppercase Letter
ValueCountFrequency (%)
E 3600
12.3%
O 2600
 
8.9%
R 2339
 
8.0%
I 2125
 
7.2%
A 2099
 
7.1%
T 2097
 
7.1%
N 2038
 
6.9%
S 1862
 
6.3%
D 1384
 
4.7%
L 1350
 
4.6%
Other values (16) 7882
26.8%
Other Punctuation
ValueCountFrequency (%)
. 788
52.2%
, 365
24.2%
/ 131
 
8.7%
' 47
 
3.1%
* 42
 
2.8%
: 40
 
2.6%
; 35
 
2.3%
& 26
 
1.7%
" 24
 
1.6%
@ 8
 
0.5%
Other values (2) 4
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 242
18.7%
0 194
15.0%
2 137
10.6%
5 136
10.5%
4 132
10.2%
3 121
9.3%
6 102
7.9%
7 87
 
6.7%
9 78
 
6.0%
8 68
 
5.2%
Math Symbol
ValueCountFrequency (%)
< 7
53.8%
> 3
23.1%
~ 2
 
15.4%
+ 1
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 154
99.4%
] 1
 
0.6%
Open Punctuation
ValueCountFrequency (%)
( 153
99.4%
[ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
20415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 691
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 105090
81.3%
Common 24238
 
18.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 9324
 
8.9%
o 6629
 
6.3%
a 5859
 
5.6%
n 5809
 
5.5%
i 5720
 
5.4%
t 5611
 
5.3%
s 5395
 
5.1%
r 5320
 
5.1%
E 3600
 
3.4%
d 3449
 
3.3%
Other values (43) 48374
46.0%
Common
ValueCountFrequency (%)
20415
84.2%
. 788
 
3.3%
- 691
 
2.9%
, 365
 
1.5%
1 242
 
1.0%
0 194
 
0.8%
) 154
 
0.6%
( 153
 
0.6%
2 137
 
0.6%
5 136
 
0.6%
Other values (24) 963
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 129323
> 99.9%
None 3
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20415
 
15.8%
e 9324
 
7.2%
o 6629
 
5.1%
a 5859
 
4.5%
n 5809
 
4.5%
i 5720
 
4.4%
t 5611
 
4.3%
s 5395
 
4.2%
r 5320
 
4.1%
E 3600
 
2.8%
Other values (74) 55641
43.0%
None
ValueCountFrequency (%)
ñ 2
66.7%
° 1
33.3%
Punctuation
ValueCountFrequency (%)
2
100.0%
Distinct266
Distinct (%)9.8%
Missing3987
Missing (%)59.4%
Memory size52.5 KiB
2024-02-15T22:50:04.294413image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length82
Mean length46.384785
Min length12

Characters and Unicode

Total characters126213
Distinct characters81
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)2.9%

Sample

1st row*44 Trash can provided for papertowel waste
2nd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
3rd row*03 Food products not maintained at 135øF or above
4th row*20 Grease Trap Tickets
5th row*33 Mech. warewash, hot water sanitizing, other machines
ValueCountFrequency (%)
food 742
 
3.7%
485
 
2.4%
in 349
 
1.7%
or 348
 
1.7%
and 315
 
1.6%
of 273
 
1.4%
for 255
 
1.3%
the 226
 
1.1%
equipment 217
 
1.1%
42 205
 
1.0%
Other values (734) 16528
82.9%
2024-02-15T22:50:05.546020image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17479
13.8%
e 9998
 
7.9%
o 9624
 
7.6%
n 7802
 
6.2%
i 7485
 
5.9%
t 7353
 
5.8%
s 6509
 
5.2%
a 6224
 
4.9%
r 5794
 
4.6%
d 4318
 
3.4%
Other values (71) 43627
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 90618
71.8%
Space Separator 17479
 
13.8%
Decimal Number 6605
 
5.2%
Uppercase Letter 5444
 
4.3%
Other Punctuation 4916
 
3.9%
Dash Punctuation 730
 
0.6%
Close Punctuation 155
 
0.1%
Open Punctuation 155
 
0.1%
Math Symbol 111
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 9998
11.0%
o 9624
10.6%
n 7802
 
8.6%
i 7485
 
8.3%
t 7353
 
8.1%
s 6509
 
7.2%
a 6224
 
6.9%
r 5794
 
6.4%
d 4318
 
4.8%
l 3834
 
4.2%
Other values (18) 21677
23.9%
Uppercase Letter
ValueCountFrequency (%)
F 900
16.5%
C 700
12.9%
S 539
9.9%
T 456
8.4%
P 337
 
6.2%
D 320
 
5.9%
H 315
 
5.8%
R 275
 
5.1%
E 269
 
4.9%
O 243
 
4.5%
Other values (13) 1090
20.0%
Other Punctuation
ValueCountFrequency (%)
* 2721
55.3%
, 1068
 
21.7%
/ 525
 
10.7%
. 287
 
5.8%
: 131
 
2.7%
& 125
 
2.5%
' 45
 
0.9%
" 4
 
0.1%
; 3
 
0.1%
? 3
 
0.1%
Other values (2) 4
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 1347
20.4%
3 1113
16.9%
2 976
14.8%
1 973
14.7%
0 510
 
7.7%
5 481
 
7.3%
7 367
 
5.6%
9 354
 
5.4%
6 265
 
4.0%
8 219
 
3.3%
Math Symbol
ValueCountFrequency (%)
> 87
78.4%
< 14
 
12.6%
= 6
 
5.4%
+ 4
 
3.6%
Space Separator
ValueCountFrequency (%)
17479
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 730
100.0%
Close Punctuation
ValueCountFrequency (%)
) 155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 96062
76.1%
Common 30151
 
23.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 9998
 
10.4%
o 9624
 
10.0%
n 7802
 
8.1%
i 7485
 
7.8%
t 7353
 
7.7%
s 6509
 
6.8%
a 6224
 
6.5%
r 5794
 
6.0%
d 4318
 
4.5%
l 3834
 
4.0%
Other values (41) 27121
28.2%
Common
ValueCountFrequency (%)
17479
58.0%
* 2721
 
9.0%
4 1347
 
4.5%
3 1113
 
3.7%
, 1068
 
3.5%
2 976
 
3.2%
1 973
 
3.2%
- 730
 
2.4%
/ 525
 
1.7%
0 510
 
1.7%
Other values (20) 2709
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125996
99.8%
None 217
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17479
13.9%
e 9998
 
7.9%
o 9624
 
7.6%
n 7802
 
6.2%
i 7485
 
5.9%
t 7353
 
5.8%
s 6509
 
5.2%
a 6224
 
4.9%
r 5794
 
4.6%
d 4318
 
3.4%
Other values (68) 43410
34.5%
None
ValueCountFrequency (%)
ø 210
96.8%
õ 5
 
2.3%
§ 2
 
0.9%

Violation Points - 5
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.1%
Missing3987
Missing (%)59.4%
Memory size52.5 KiB
1.0
1435 
2.0
645 
3.0
641 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters8163
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row3.0
4th row3.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 1435
 
21.4%
2.0 645
 
9.6%
3.0 641
 
9.6%
(Missing) 3987
59.4%

Length

2024-02-15T22:50:05.922956image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:50:06.159864image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1435
52.7%
2.0 645
23.7%
3.0 641
23.6%

Most occurring characters

ValueCountFrequency (%)
. 2721
33.3%
0 2721
33.3%
1 1435
17.6%
2 645
 
7.9%
3 641
 
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5442
66.7%
Other Punctuation 2721
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2721
50.0%
1 1435
26.4%
2 645
 
11.9%
3 641
 
11.8%
Other Punctuation
ValueCountFrequency (%)
. 2721
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8163
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2721
33.3%
0 2721
33.3%
1 1435
17.6%
2 645
 
7.9%
3 641
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8163
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2721
33.3%
0 2721
33.3%
1 1435
17.6%
2 645
 
7.9%
3 641
 
7.9%

Violation Detail - 5
Text

MISSING 

Distinct272
Distinct (%)10.1%
Missing4027
Missing (%)60.0%
Memory size52.5 KiB
2024-02-15T22:50:06.595137image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length888
Median length568
Mean length369.62216
Min length125

Characters and Unicode

Total characters990957
Distinct characters72
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)3.1%

Sample

1st row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (g) Storage areas, rooms, and receptacles, capacity and availability. (3) If disposable towels are used at handwashing lavatories, a waste receptacle shall be located at each lavatory or group of adjacent lavatories.
2nd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
3rd row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);
4th rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
5th row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (l) Mechanical warewashing equipment, hot water sanitization temperatures. (1) Except as specified in paragraph (2) of this subsection, in a mechanical operation, the temperature of the fresh hot water sanitizing rinse as it enters the manifold may not be more than 90 degrees Celsius (194 degrees Fahrenheit), or less than: (B) for all other machines, 82 degrees Celsius (180 degrees Fahrenheit).
ValueCountFrequency (%)
and 7648
 
5.6%
food 5401
 
3.9%
of 4678
 
3.4%
the 4494
 
3.3%
a 3617
 
2.6%
in 3034
 
2.2%
shall 3012
 
2.2%
be 2739
 
2.0%
or 2626
 
1.9%
equipment 2512
 
1.8%
Other values (1635) 97440
71.0%
2024-02-15T22:50:07.439932image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204307
20.6%
e 84090
 
8.5%
i 57663
 
5.8%
n 57238
 
5.8%
a 56963
 
5.7%
t 56217
 
5.7%
o 53865
 
5.4%
s 53449
 
5.4%
r 39595
 
4.0%
d 32949
 
3.3%
Other values (62) 294621
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 693358
70.0%
Space Separator 204307
 
20.6%
Other Punctuation 27855
 
2.8%
Decimal Number 23805
 
2.4%
Uppercase Letter 21308
 
2.2%
Close Punctuation 8560
 
0.9%
Open Punctuation 8501
 
0.9%
Dash Punctuation 3261
 
0.3%
Currency Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 84090
12.1%
i 57663
 
8.3%
n 57238
 
8.3%
a 56963
 
8.2%
t 56217
 
8.1%
o 53865
 
7.8%
s 53449
 
7.7%
r 39595
 
5.7%
d 32949
 
4.8%
l 29581
 
4.3%
Other values (17) 171748
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 2691
12.6%
E 2571
12.1%
P 2232
10.5%
C 2132
10.0%
T 1592
 
7.5%
A 1406
 
6.6%
S 1377
 
6.5%
L 1102
 
5.2%
U 1060
 
5.0%
R 939
 
4.4%
Other values (13) 4206
19.7%
Decimal Number
ValueCountFrequency (%)
2 8219
34.5%
1 5013
21.1%
8 3609
15.2%
5 1329
 
5.6%
7 1323
 
5.6%
4 1239
 
5.2%
6 1152
 
4.8%
3 1028
 
4.3%
0 590
 
2.5%
9 303
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 12608
45.3%
, 12284
44.1%
: 1346
 
4.8%
; 1220
 
4.4%
/ 278
 
1.0%
# 61
 
0.2%
' 58
 
0.2%
Space Separator
ValueCountFrequency (%)
204307
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8560
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8501
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3261
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 714666
72.1%
Common 276291
 
27.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 84090
11.8%
i 57663
 
8.1%
n 57238
 
8.0%
a 56963
 
8.0%
t 56217
 
7.9%
o 53865
 
7.5%
s 53449
 
7.5%
r 39595
 
5.5%
d 32949
 
4.6%
l 29581
 
4.1%
Other values (40) 193056
27.0%
Common
ValueCountFrequency (%)
204307
73.9%
. 12608
 
4.6%
, 12284
 
4.4%
) 8560
 
3.1%
( 8501
 
3.1%
2 8219
 
3.0%
1 5013
 
1.8%
8 3609
 
1.3%
- 3261
 
1.2%
: 1346
 
0.5%
Other values (12) 8583
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 990430
99.9%
None 527
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204307
20.6%
e 84090
 
8.5%
i 57663
 
5.8%
n 57238
 
5.8%
a 56963
 
5.8%
t 56217
 
5.7%
o 53865
 
5.4%
s 53449
 
5.4%
r 39595
 
4.0%
d 32949
 
3.3%
Other values (61) 294094
29.7%
None
ValueCountFrequency (%)
õ 527
100.0%

Violation Memo - 5
Text

MISSING 

Distinct1977
Distinct (%)92.1%
Missing4562
Missing (%)68.0%
Memory size52.5 KiB
2024-02-15T22:50:08.003824image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1823
Median length223
Mean length53.354613
Min length3

Characters and Unicode

Total characters114499
Distinct characters89
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1886 ?
Unique (%)87.9%

Sample

1st rowPROVIDE FOR ALL
2nd rowBrisket : 131'f
3rd rowNeed grease trap tix within 90 days.
4th rowdish washer 120 degrees f
5th rowBroken microwave. Panel loose on reach in cooler.
ValueCountFrequency (%)
in 623
 
3.3%
the 396
 
2.1%
food 394
 
2.1%
and 353
 
1.9%
on 342
 
1.8%
clean 309
 
1.6%
of 271
 
1.4%
to 258
 
1.4%
be 239
 
1.3%
at 236
 
1.2%
Other values (2102) 15466
81.9%
2024-02-15T22:50:08.907569image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18604
 
16.2%
e 7971
 
7.0%
o 5850
 
5.1%
a 5162
 
4.5%
n 5138
 
4.5%
i 5081
 
4.4%
t 4900
 
4.3%
s 4740
 
4.1%
r 4556
 
4.0%
l 3095
 
2.7%
Other values (79) 49402
43.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 66235
57.8%
Uppercase Letter 24994
 
21.8%
Space Separator 18604
 
16.2%
Dash Punctuation 1668
 
1.5%
Other Punctuation 1435
 
1.3%
Decimal Number 1266
 
1.1%
Close Punctuation 139
 
0.1%
Open Punctuation 138
 
0.1%
Math Symbol 11
 
< 0.1%
Other Symbol 3
 
< 0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7971
12.0%
o 5850
 
8.8%
a 5162
 
7.8%
n 5138
 
7.8%
i 5081
 
7.7%
t 4900
 
7.4%
s 4740
 
7.2%
r 4556
 
6.9%
l 3095
 
4.7%
d 3004
 
4.5%
Other values (17) 16738
25.3%
Uppercase Letter
ValueCountFrequency (%)
E 3047
12.2%
O 2236
 
8.9%
R 2010
 
8.0%
I 1853
 
7.4%
N 1810
 
7.2%
T 1792
 
7.2%
A 1740
 
7.0%
S 1608
 
6.4%
L 1180
 
4.7%
D 1169
 
4.7%
Other values (16) 6549
26.2%
Other Punctuation
ValueCountFrequency (%)
. 678
47.2%
, 389
27.1%
/ 113
 
7.9%
; 52
 
3.6%
* 46
 
3.2%
" 41
 
2.9%
' 40
 
2.8%
: 39
 
2.7%
& 20
 
1.4%
! 9
 
0.6%
Other values (3) 8
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 254
20.1%
0 160
12.6%
2 140
11.1%
5 136
10.7%
4 132
10.4%
3 110
8.7%
7 108
8.5%
6 95
 
7.5%
9 69
 
5.5%
8 62
 
4.9%
Math Symbol
ValueCountFrequency (%)
< 6
54.5%
= 2
 
18.2%
+ 2
 
18.2%
> 1
 
9.1%
Close Punctuation
ValueCountFrequency (%)
) 138
99.3%
] 1
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 137
99.3%
[ 1
 
0.7%
Space Separator
ValueCountFrequency (%)
18604
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1668
100.0%
Other Symbol
ValueCountFrequency (%)
° 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 91229
79.7%
Common 23270
 
20.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7971
 
8.7%
o 5850
 
6.4%
a 5162
 
5.7%
n 5138
 
5.6%
i 5081
 
5.6%
t 4900
 
5.4%
s 4740
 
5.2%
r 4556
 
5.0%
l 3095
 
3.4%
E 3047
 
3.3%
Other values (43) 41689
45.7%
Common
ValueCountFrequency (%)
18604
79.9%
- 1668
 
7.2%
. 678
 
2.9%
, 389
 
1.7%
1 254
 
1.1%
0 160
 
0.7%
2 140
 
0.6%
) 138
 
0.6%
( 137
 
0.6%
5 136
 
0.6%
Other values (26) 966
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114488
> 99.9%
Punctuation 6
 
< 0.1%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18604
 
16.2%
e 7971
 
7.0%
o 5850
 
5.1%
a 5162
 
4.5%
n 5138
 
4.5%
i 5081
 
4.4%
t 4900
 
4.3%
s 4740
 
4.1%
r 4556
 
4.0%
l 3095
 
2.7%
Other values (75) 49391
43.1%
None
ValueCountFrequency (%)
° 3
60.0%
á 2
40.0%
Punctuation
ValueCountFrequency (%)
3
50.0%
3
50.0%
Distinct276
Distinct (%)12.7%
Missing4535
Missing (%)67.6%
Memory size52.5 KiB
2024-02-15T22:50:09.316202image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length82
Mean length46.550391
Min length12

Characters and Unicode

Total characters101154
Distinct characters81
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)4.7%

Sample

1st row*34 Outer openings:closing holes, gaps
2nd row*20 Grease Trap Tickets
3rd row*22 Handlers-Certificate Not On Site
4th row*42 Dirty nonfood contact surfaces
5th row*36 Cloths in-use for wiping between uses stored
ValueCountFrequency (%)
food 573
 
3.6%
372
 
2.3%
or 278
 
1.8%
in 270
 
1.7%
and 228
 
1.4%
for 204
 
1.3%
of 202
 
1.3%
42 187
 
1.2%
to 179
 
1.1%
dirty 171
 
1.1%
Other values (743) 13187
83.2%
2024-02-15T22:50:10.046401image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13872
 
13.7%
e 8047
 
8.0%
o 7662
 
7.6%
n 6316
 
6.2%
i 6031
 
6.0%
t 5902
 
5.8%
s 5362
 
5.3%
a 5045
 
5.0%
r 4761
 
4.7%
d 3370
 
3.3%
Other values (71) 34786
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 73006
72.2%
Space Separator 13872
 
13.7%
Decimal Number 5181
 
5.1%
Uppercase Letter 4367
 
4.3%
Other Punctuation 3860
 
3.8%
Dash Punctuation 603
 
0.6%
Close Punctuation 101
 
0.1%
Open Punctuation 101
 
0.1%
Math Symbol 63
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 8047
11.0%
o 7662
10.5%
n 6316
 
8.7%
i 6031
 
8.3%
t 5902
 
8.1%
s 5362
 
7.3%
a 5045
 
6.9%
r 4761
 
6.5%
d 3370
 
4.6%
l 3037
 
4.2%
Other values (18) 17473
23.9%
Uppercase Letter
ValueCountFrequency (%)
F 723
16.6%
C 581
13.3%
S 399
9.1%
T 330
 
7.6%
D 277
 
6.3%
P 257
 
5.9%
H 250
 
5.7%
R 238
 
5.4%
E 216
 
4.9%
O 191
 
4.4%
Other values (13) 905
20.7%
Other Punctuation
ValueCountFrequency (%)
* 2172
56.3%
, 822
 
21.3%
/ 419
 
10.9%
. 209
 
5.4%
: 117
 
3.0%
& 74
 
1.9%
' 31
 
0.8%
? 5
 
0.1%
" 4
 
0.1%
; 4
 
0.1%
Other values (2) 3
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 1086
21.0%
3 874
16.9%
2 795
15.3%
1 739
14.3%
0 398
 
7.7%
5 368
 
7.1%
7 268
 
5.2%
9 265
 
5.1%
6 232
 
4.5%
8 156
 
3.0%
Math Symbol
ValueCountFrequency (%)
> 54
85.7%
< 6
 
9.5%
= 2
 
3.2%
+ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
13872
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 603
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 77373
76.5%
Common 23781
 
23.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 8047
 
10.4%
o 7662
 
9.9%
n 6316
 
8.2%
i 6031
 
7.8%
t 5902
 
7.6%
s 5362
 
6.9%
a 5045
 
6.5%
r 4761
 
6.2%
d 3370
 
4.4%
l 3037
 
3.9%
Other values (41) 21840
28.2%
Common
ValueCountFrequency (%)
13872
58.3%
* 2172
 
9.1%
4 1086
 
4.6%
3 874
 
3.7%
, 822
 
3.5%
2 795
 
3.3%
1 739
 
3.1%
- 603
 
2.5%
/ 419
 
1.8%
0 398
 
1.7%
Other values (20) 2001
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100993
99.8%
None 161
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13872
13.7%
e 8047
 
8.0%
o 7662
 
7.6%
n 6316
 
6.3%
i 6031
 
6.0%
t 5902
 
5.8%
s 5362
 
5.3%
a 5045
 
5.0%
r 4761
 
4.7%
d 3370
 
3.3%
Other values (68) 34625
34.3%
None
ValueCountFrequency (%)
ø 156
96.9%
õ 4
 
2.5%
§ 1
 
0.6%

Violation Points - 6
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.1%
Missing4535
Missing (%)67.6%
Memory size52.5 KiB
1.0
1165 
2.0
521 
3.0
487 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6519
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1165
 
17.4%
2.0 521
 
7.8%
3.0 487
 
7.3%
(Missing) 4535
67.6%

Length

2024-02-15T22:50:10.330173image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:50:10.600728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1165
53.6%
2.0 521
24.0%
3.0 487
22.4%

Most occurring characters

ValueCountFrequency (%)
. 2173
33.3%
0 2173
33.3%
1 1165
17.9%
2 521
 
8.0%
3 487
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4346
66.7%
Other Punctuation 2173
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2173
50.0%
1 1165
26.8%
2 521
 
12.0%
3 487
 
11.2%
Other Punctuation
ValueCountFrequency (%)
. 2173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6519
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2173
33.3%
0 2173
33.3%
1 1165
17.9%
2 521
 
8.0%
3 487
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2173
33.3%
0 2173
33.3%
1 1165
17.9%
2 521
 
8.0%
3 487
 
7.5%

Violation Detail - 6
Text

MISSING 

Distinct278
Distinct (%)12.9%
Missing4559
Missing (%)68.0%
Memory size52.5 KiB
2024-02-15T22:50:11.110404image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length878
Median length591
Mean length364.27175
Min length125

Characters and Unicode

Total characters782820
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)4.8%

Sample

1st row228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (A) filling or closing holes and other gaps along floors, walls and ceilings;
2nd rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
3rd rowõ228.33. Certified Food Protection Manager and Food Handler Requirements (e) The food establishment shall maintain on premises a certificate of completion of the food handler training course for each food employee. The requirement to complete a food handler training course shall be effective September 1, 2016.
4th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
5th row228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; and
ValueCountFrequency (%)
and 6131
 
5.7%
food 4250
 
3.9%
of 3769
 
3.5%
the 3284
 
3.0%
a 2796
 
2.6%
shall 2360
 
2.2%
in 2316
 
2.1%
be 2164
 
2.0%
equipment 2068
 
1.9%
or 2067
 
1.9%
Other values (1664) 76979
71.2%
2024-02-15T22:50:12.079278image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160544
20.5%
e 66293
 
8.5%
i 45719
 
5.8%
n 45547
 
5.8%
a 45175
 
5.8%
t 44080
 
5.6%
o 42604
 
5.4%
s 42565
 
5.4%
r 31350
 
4.0%
d 25913
 
3.3%
Other values (61) 233030
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 549025
70.1%
Space Separator 160544
 
20.5%
Other Punctuation 22201
 
2.8%
Decimal Number 18614
 
2.4%
Uppercase Letter 16575
 
2.1%
Close Punctuation 6678
 
0.9%
Open Punctuation 6639
 
0.8%
Dash Punctuation 2544
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 66293
12.1%
i 45719
 
8.3%
n 45547
 
8.3%
a 45175
 
8.2%
t 44080
 
8.0%
o 42604
 
7.8%
s 42565
 
7.8%
r 31350
 
5.7%
d 25913
 
4.7%
l 23603
 
4.3%
Other values (17) 136176
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 2112
12.7%
E 2001
12.1%
P 1764
10.6%
C 1631
9.8%
T 1178
 
7.1%
A 1046
 
6.3%
S 1028
 
6.2%
L 897
 
5.4%
U 877
 
5.3%
R 713
 
4.3%
Other values (13) 3328
20.1%
Decimal Number
ValueCountFrequency (%)
2 6466
34.7%
1 3939
21.2%
8 2866
15.4%
7 1017
 
5.5%
5 991
 
5.3%
4 957
 
5.1%
6 895
 
4.8%
3 830
 
4.5%
0 442
 
2.4%
9 211
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 10042
45.2%
, 9873
44.5%
: 1033
 
4.7%
; 962
 
4.3%
/ 199
 
0.9%
# 47
 
0.2%
' 45
 
0.2%
Space Separator
ValueCountFrequency (%)
160544
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6678
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6639
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2544
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 565600
72.3%
Common 217220
 
27.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 66293
11.7%
i 45719
 
8.1%
n 45547
 
8.1%
a 45175
 
8.0%
t 44080
 
7.8%
o 42604
 
7.5%
s 42565
 
7.5%
r 31350
 
5.5%
d 25913
 
4.6%
l 23603
 
4.2%
Other values (40) 152751
27.0%
Common
ValueCountFrequency (%)
160544
73.9%
. 10042
 
4.6%
, 9873
 
4.5%
) 6678
 
3.1%
( 6639
 
3.1%
2 6466
 
3.0%
1 3939
 
1.8%
8 2866
 
1.3%
- 2544
 
1.2%
: 1033
 
0.5%
Other values (11) 6596
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 782412
99.9%
None 408
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160544
20.5%
e 66293
 
8.5%
i 45719
 
5.8%
n 45547
 
5.8%
a 45175
 
5.8%
t 44080
 
5.6%
o 42604
 
5.4%
s 42565
 
5.4%
r 31350
 
4.0%
d 25913
 
3.3%
Other values (60) 232622
29.7%
None
ValueCountFrequency (%)
õ 408
100.0%

Violation Memo - 6
Text

MISSING 

Distinct1586
Distinct (%)92.3%
Missing4990
Missing (%)74.4%
Memory size52.5 KiB
2024-02-15T22:50:12.624982image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1569
Median length177
Mean length53.199651
Min length2

Characters and Unicode

Total characters91397
Distinct characters87
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1514 ?
Unique (%)88.1%

Sample

1st rowSEAL ALL HOLES AND GAPS
2nd rowHave food handler cards from employees by next visit.
3rd rowclean cappuccino machine
4th rowMoist mop cloth stored on cutting board portion of reach in cooler. When not in employee's hands, such mop cloths should be stored in sanitizing solution. Such moist environments with food particles may act as an environment for pathogen growth.
5th rowapply for change of ownership - new owner 3-20634-3255-6
ValueCountFrequency (%)
in 475
 
3.2%
food 306
 
2.0%
the 302
 
2.0%
and 297
 
2.0%
on 282
 
1.9%
clean 256
 
1.7%
of 229
 
1.5%
to 213
 
1.4%
be 190
 
1.3%
must 175
 
1.2%
Other values (1904) 12290
81.9%
2024-02-15T22:50:13.516170image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14447
 
15.8%
e 6402
 
7.0%
o 4762
 
5.2%
a 4072
 
4.5%
n 4064
 
4.4%
i 4045
 
4.4%
t 3877
 
4.2%
s 3799
 
4.2%
r 3731
 
4.1%
E 2427
 
2.7%
Other values (77) 39771
43.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 53039
58.0%
Uppercase Letter 20022
 
21.9%
Space Separator 14447
 
15.8%
Dash Punctuation 1672
 
1.8%
Other Punctuation 1120
 
1.2%
Decimal Number 855
 
0.9%
Close Punctuation 117
 
0.1%
Open Punctuation 114
 
0.1%
Math Symbol 4
 
< 0.1%
Control 3
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 6402
12.1%
o 4762
 
9.0%
a 4072
 
7.7%
n 4064
 
7.7%
i 4045
 
7.6%
t 3877
 
7.3%
s 3799
 
7.2%
r 3731
 
7.0%
d 2409
 
4.5%
l 2406
 
4.5%
Other values (18) 13472
25.4%
Uppercase Letter
ValueCountFrequency (%)
E 2427
12.1%
O 1802
 
9.0%
R 1520
 
7.6%
I 1451
 
7.2%
T 1431
 
7.1%
N 1418
 
7.1%
A 1380
 
6.9%
S 1318
 
6.6%
D 996
 
5.0%
L 932
 
4.7%
Other values (16) 5347
26.7%
Other Punctuation
ValueCountFrequency (%)
. 543
48.5%
, 344
30.7%
/ 100
 
8.9%
: 37
 
3.3%
' 28
 
2.5%
; 22
 
2.0%
" 18
 
1.6%
& 14
 
1.2%
@ 6
 
0.5%
* 4
 
0.4%
Other values (2) 4
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 143
16.7%
1 138
16.1%
2 99
11.6%
4 89
10.4%
3 86
10.1%
5 79
9.2%
7 65
7.6%
6 59
6.9%
9 49
 
5.7%
8 48
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 1671
99.9%
1
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 3
75.0%
> 1
 
25.0%
Space Separator
ValueCountFrequency (%)
14447
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
° 1
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 73061
79.9%
Common 18336
 
20.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 6402
 
8.8%
o 4762
 
6.5%
a 4072
 
5.6%
n 4064
 
5.6%
i 4045
 
5.5%
t 3877
 
5.3%
s 3799
 
5.2%
r 3731
 
5.1%
E 2427
 
3.3%
d 2409
 
3.3%
Other values (44) 33473
45.8%
Common
ValueCountFrequency (%)
14447
78.8%
- 1671
 
9.1%
. 543
 
3.0%
, 344
 
1.9%
0 143
 
0.8%
1 138
 
0.8%
) 117
 
0.6%
( 114
 
0.6%
/ 100
 
0.5%
2 99
 
0.5%
Other values (23) 620
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 91388
> 99.9%
Punctuation 6
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14447
 
15.8%
e 6402
 
7.0%
o 4762
 
5.2%
a 4072
 
4.5%
n 4064
 
4.4%
i 4045
 
4.4%
t 3877
 
4.2%
s 3799
 
4.2%
r 3731
 
4.1%
E 2427
 
2.7%
Other values (71) 39762
43.5%
Punctuation
ValueCountFrequency (%)
3
50.0%
2
33.3%
1
 
16.7%
None
ValueCountFrequency (%)
° 1
33.3%
í 1
33.3%
á 1
33.3%
Distinct227
Distinct (%)13.7%
Missing5056
Missing (%)75.4%
Memory size52.5 KiB
2024-02-15T22:50:13.886911image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length79
Mean length46.478208
Min length12

Characters and Unicode

Total characters76782
Distinct characters79
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)4.5%

Sample

1st row*35 Hair Restraints effective
2nd row*28 Date marking commercially prepared RTE/ TCS food
3rd row*47 Conditions of Permit-in use of food equipment
4th row*10 Equipment and Utensils Sanitization
5th row*38 Thawing. under running water criteria - water velocity
ValueCountFrequency (%)
food 482
 
4.0%
303
 
2.5%
in 239
 
2.0%
or 217
 
1.8%
and 187
 
1.5%
of 161
 
1.3%
the 146
 
1.2%
equipment 138
 
1.1%
42 132
 
1.1%
for 128
 
1.1%
Other values (664) 9965
82.4%
2024-02-15T22:50:14.588018image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10633
13.8%
e 6068
 
7.9%
o 5796
 
7.5%
n 4801
 
6.3%
i 4585
 
6.0%
t 4433
 
5.8%
s 4078
 
5.3%
a 3820
 
5.0%
r 3523
 
4.6%
d 2609
 
3.4%
Other values (69) 26436
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 55118
71.8%
Space Separator 10633
 
13.8%
Decimal Number 4009
 
5.2%
Uppercase Letter 3287
 
4.3%
Other Punctuation 3046
 
4.0%
Dash Punctuation 442
 
0.6%
Close Punctuation 97
 
0.1%
Open Punctuation 97
 
0.1%
Math Symbol 53
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 6068
11.0%
o 5796
10.5%
n 4801
 
8.7%
i 4585
 
8.3%
t 4433
 
8.0%
s 4078
 
7.4%
a 3820
 
6.9%
r 3523
 
6.4%
d 2609
 
4.7%
l 2313
 
4.2%
Other values (18) 13092
23.8%
Uppercase Letter
ValueCountFrequency (%)
F 566
17.2%
C 418
12.7%
S 319
9.7%
T 247
 
7.5%
P 211
 
6.4%
D 199
 
6.1%
R 163
 
5.0%
E 160
 
4.9%
H 160
 
4.9%
O 150
 
4.6%
Other values (13) 694
21.1%
Other Punctuation
ValueCountFrequency (%)
* 1652
54.2%
, 673
22.1%
/ 352
 
11.6%
. 165
 
5.4%
: 100
 
3.3%
& 65
 
2.1%
' 25
 
0.8%
; 5
 
0.2%
" 4
 
0.1%
? 3
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 848
21.2%
3 669
16.7%
2 577
14.4%
1 548
13.7%
0 324
 
8.1%
5 294
 
7.3%
7 232
 
5.8%
9 227
 
5.7%
6 183
 
4.6%
8 107
 
2.7%
Math Symbol
ValueCountFrequency (%)
> 43
81.1%
= 6
 
11.3%
< 4
 
7.5%
Space Separator
ValueCountFrequency (%)
10633
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 442
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 58405
76.1%
Common 18377
 
23.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 6068
 
10.4%
o 5796
 
9.9%
n 4801
 
8.2%
i 4585
 
7.9%
t 4433
 
7.6%
s 4078
 
7.0%
a 3820
 
6.5%
r 3523
 
6.0%
d 2609
 
4.5%
l 2313
 
4.0%
Other values (41) 16379
28.0%
Common
ValueCountFrequency (%)
10633
57.9%
* 1652
 
9.0%
4 848
 
4.6%
, 673
 
3.7%
3 669
 
3.6%
2 577
 
3.1%
1 548
 
3.0%
- 442
 
2.4%
/ 352
 
1.9%
0 324
 
1.8%
Other values (18) 1659
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76661
99.8%
None 121
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10633
13.9%
e 6068
 
7.9%
o 5796
 
7.6%
n 4801
 
6.3%
i 4585
 
6.0%
t 4433
 
5.8%
s 4078
 
5.3%
a 3820
 
5.0%
r 3523
 
4.6%
d 2609
 
3.4%
Other values (67) 26315
34.3%
None
ValueCountFrequency (%)
ø 119
98.3%
õ 2
 
1.7%

Violation Points - 7
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.2%
Missing5056
Missing (%)75.4%
Memory size52.5 KiB
1.0
908 
3.0
375 
2.0
369 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters4956
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 908
 
13.5%
3.0 375
 
5.6%
2.0 369
 
5.5%
(Missing) 5056
75.4%

Length

2024-02-15T22:50:14.879994image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:50:15.134223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 908
55.0%
3.0 375
22.7%
2.0 369
22.3%

Most occurring characters

ValueCountFrequency (%)
. 1652
33.3%
0 1652
33.3%
1 908
18.3%
3 375
 
7.6%
2 369
 
7.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3304
66.7%
Other Punctuation 1652
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1652
50.0%
1 908
27.5%
3 375
 
11.3%
2 369
 
11.2%
Other Punctuation
ValueCountFrequency (%)
. 1652
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4956
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1652
33.3%
0 1652
33.3%
1 908
18.3%
3 375
 
7.6%
2 369
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4956
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1652
33.3%
0 1652
33.3%
1 908
18.3%
3 375
 
7.6%
2 369
 
7.4%

Violation Detail - 7
Text

MISSING 

Distinct229
Distinct (%)14.0%
Missing5076
Missing (%)75.7%
Memory size52.5 KiB
2024-02-15T22:50:15.555967image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length888
Median length562
Mean length367.23713
Min length125

Characters and Unicode

Total characters599331
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)4.5%

Sample

1st row228.43 Management and Personnel. Hair restraints. (a) Except as provided in subsection (b) of this section, food employees shall wear hair restraints such as hats, hair coverings or nets, beard restraints, and clothing that covers body hair, that are designed and worn to effectively keep their hair from contacting exposed food; clean equipment, utensils, and linens; and unwrapped single-service and single-use articles.
2nd row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
3rd row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
4th row228.118 Equipment, Utensils, and Linens. Sanitization Methods, Hot Water and Chemicals. After being cleaned, equipment food-contact surfaces and utensils shall be sanitized in: (1) hot water manual operations by immersion for at least 30 seconds and as specified in õ228.111(k) of this title;
5th row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (B) with sufficient water velocity to agitate and float off loose particles in an overflow; and
ValueCountFrequency (%)
and 4614
 
5.6%
food 3280
 
4.0%
of 2897
 
3.5%
the 2628
 
3.2%
a 2195
 
2.6%
shall 1802
 
2.2%
in 1791
 
2.2%
be 1660
 
2.0%
or 1537
 
1.9%
equipment 1518
 
1.8%
Other values (1548) 58946
71.1%
2024-02-15T22:50:16.631686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
123910
20.7%
e 50717
 
8.5%
i 34928
 
5.8%
n 34668
 
5.8%
a 34531
 
5.8%
t 33944
 
5.7%
o 32549
 
5.4%
s 32293
 
5.4%
r 23804
 
4.0%
d 19820
 
3.3%
Other values (61) 178167
29.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 419232
69.9%
Space Separator 123910
 
20.7%
Other Punctuation 17067
 
2.8%
Decimal Number 14403
 
2.4%
Uppercase Letter 12474
 
2.1%
Close Punctuation 5178
 
0.9%
Open Punctuation 5144
 
0.9%
Dash Punctuation 1923
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 50717
12.1%
i 34928
 
8.3%
n 34668
 
8.3%
a 34531
 
8.2%
t 33944
 
8.1%
o 32549
 
7.8%
s 32293
 
7.7%
r 23804
 
5.7%
d 19820
 
4.7%
l 17885
 
4.3%
Other values (17) 104093
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 1683
13.5%
E 1488
11.9%
P 1312
10.5%
C 1247
10.0%
T 889
 
7.1%
S 784
 
6.3%
A 762
 
6.1%
L 678
 
5.4%
U 650
 
5.2%
R 554
 
4.4%
Other values (13) 2427
19.5%
Decimal Number
ValueCountFrequency (%)
2 4922
34.2%
1 3079
21.4%
8 2188
15.2%
7 831
 
5.8%
5 784
 
5.4%
6 743
 
5.2%
4 718
 
5.0%
3 590
 
4.1%
0 380
 
2.6%
9 168
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 7676
45.0%
, 7610
44.6%
: 832
 
4.9%
; 723
 
4.2%
/ 157
 
0.9%
' 35
 
0.2%
# 34
 
0.2%
Space Separator
ValueCountFrequency (%)
123910
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1923
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 431706
72.0%
Common 167625
 
28.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 50717
11.7%
i 34928
 
8.1%
n 34668
 
8.0%
a 34531
 
8.0%
t 33944
 
7.9%
o 32549
 
7.5%
s 32293
 
7.5%
r 23804
 
5.5%
d 19820
 
4.6%
l 17885
 
4.1%
Other values (40) 116567
27.0%
Common
ValueCountFrequency (%)
123910
73.9%
. 7676
 
4.6%
, 7610
 
4.5%
) 5178
 
3.1%
( 5144
 
3.1%
2 4922
 
2.9%
1 3079
 
1.8%
8 2188
 
1.3%
- 1923
 
1.1%
: 832
 
0.5%
Other values (11) 5163
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 599020
99.9%
None 311
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
123910
20.7%
e 50717
 
8.5%
i 34928
 
5.8%
n 34668
 
5.8%
a 34531
 
5.8%
t 33944
 
5.7%
o 32549
 
5.4%
s 32293
 
5.4%
r 23804
 
4.0%
d 19820
 
3.3%
Other values (60) 177856
29.7%
None
ValueCountFrequency (%)
õ 311
100.0%

Violation Memo - 7
Text

MISSING 

Distinct1244
Distinct (%)92.0%
Missing5356
Missing (%)79.8%
Memory size52.5 KiB
2024-02-15T22:50:17.388253image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length1430
Median length159
Mean length51.986686
Min length3

Characters and Unicode

Total characters70286
Distinct characters87
Distinct categories13 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1180 ?
Unique (%)87.3%

Sample

1st rowPROVIDE FOR ALL EMPLOYEES
2nd rowDate mark salads.
3rd rowprovide a sign about inspection report
4th rowNo sanitizer prepared at time of inspection. Employees seemed confused as to what sanitizer was. Please make proper preparation of Chlorine (bleach) as part of opening procedures. Please follow manufacturer's directions. Sanitizing solution for bleach should be between 50ppm and 100ppm. Please use test strips to verify proper sanitizer concentration.
5th rowwings thawing at RT
ValueCountFrequency (%)
in 355
 
3.1%
food 233
 
2.0%
and 224
 
1.9%
on 206
 
1.8%
the 204
 
1.8%
clean 202
 
1.7%
to 177
 
1.5%
be 152
 
1.3%
of 151
 
1.3%
all 145
 
1.2%
Other values (1662) 9569
82.4%
2024-02-15T22:50:18.675223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11108
 
15.8%
e 4700
 
6.7%
o 3663
 
5.2%
n 3167
 
4.5%
a 3159
 
4.5%
i 3136
 
4.5%
t 2977
 
4.2%
s 2925
 
4.2%
r 2819
 
4.0%
E 1947
 
2.8%
Other values (77) 30685
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 40395
57.5%
Uppercase Letter 16221
23.1%
Space Separator 11108
 
15.8%
Other Punctuation 936
 
1.3%
Decimal Number 793
 
1.1%
Dash Punctuation 616
 
0.9%
Close Punctuation 99
 
0.1%
Open Punctuation 96
 
0.1%
Math Symbol 10
 
< 0.1%
Other Symbol 5
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4700
11.6%
o 3663
 
9.1%
n 3167
 
7.8%
a 3159
 
7.8%
i 3136
 
7.8%
t 2977
 
7.4%
s 2925
 
7.2%
r 2819
 
7.0%
d 1824
 
4.5%
l 1793
 
4.4%
Other values (16) 10232
25.3%
Uppercase Letter
ValueCountFrequency (%)
E 1947
12.0%
O 1462
 
9.0%
R 1234
 
7.6%
I 1168
 
7.2%
T 1157
 
7.1%
N 1156
 
7.1%
A 1136
 
7.0%
S 1066
 
6.6%
L 841
 
5.2%
D 762
 
4.7%
Other values (16) 4292
26.5%
Other Punctuation
ValueCountFrequency (%)
. 453
48.4%
, 240
25.6%
/ 65
 
6.9%
* 34
 
3.6%
' 32
 
3.4%
; 27
 
2.9%
" 24
 
2.6%
& 24
 
2.6%
: 24
 
2.6%
! 8
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 140
17.7%
0 115
14.5%
4 101
12.7%
2 83
10.5%
3 80
10.1%
5 69
8.7%
7 65
8.2%
6 59
7.4%
8 41
 
5.2%
9 40
 
5.0%
Math Symbol
ValueCountFrequency (%)
< 5
50.0%
~ 2
 
20.0%
> 2
 
20.0%
+ 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 98
99.0%
] 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 95
99.0%
[ 1
 
1.0%
Space Separator
ValueCountFrequency (%)
11108
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 616
100.0%
Other Symbol
ValueCountFrequency (%)
° 5
100.0%
Initial Punctuation
ValueCountFrequency (%)
3
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 56616
80.6%
Common 13670
 
19.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4700
 
8.3%
o 3663
 
6.5%
n 3167
 
5.6%
a 3159
 
5.6%
i 3136
 
5.5%
t 2977
 
5.3%
s 2925
 
5.2%
r 2819
 
5.0%
E 1947
 
3.4%
d 1824
 
3.2%
Other values (42) 26299
46.5%
Common
ValueCountFrequency (%)
11108
81.3%
- 616
 
4.5%
. 453
 
3.3%
, 240
 
1.8%
1 140
 
1.0%
0 115
 
0.8%
4 101
 
0.7%
) 98
 
0.7%
( 95
 
0.7%
2 83
 
0.6%
Other values (25) 621
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70275
> 99.9%
Punctuation 6
 
< 0.1%
None 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11108
 
15.8%
e 4700
 
6.7%
o 3663
 
5.2%
n 3167
 
4.5%
a 3159
 
4.5%
i 3136
 
4.5%
t 2977
 
4.2%
s 2925
 
4.2%
r 2819
 
4.0%
E 1947
 
2.8%
Other values (74) 30674
43.6%
None
ValueCountFrequency (%)
° 5
100.0%
Punctuation
ValueCountFrequency (%)
3
50.0%
3
50.0%
Distinct209
Distinct (%)16.8%
Missing5462
Missing (%)81.4%
Memory size52.5 KiB
2024-02-15T22:50:19.473963image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length74
Mean length46.849117
Min length13

Characters and Unicode

Total characters58374
Distinct characters79
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)5.6%

Sample

1st row*25 Controlling pests. The presence of insects, rodents, and other pests shall be controlled to elim
2nd row*30 Does Establishment have a current valid permit posted?
3rd row*30 Food Establishment Permit
4th row*45 Premises:Cleaning, frequency and restrictions
5th row*21 RFSM - Not On Site
ValueCountFrequency (%)
food 336
 
3.7%
228
 
2.5%
in 167
 
1.8%
or 162
 
1.8%
and 141
 
1.5%
for 124
 
1.4%
of 114
 
1.2%
the 104
 
1.1%
equipment 91
 
1.0%
not 91
 
1.0%
Other values (616) 7586
83.0%
2024-02-15T22:50:20.952812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8022
 
13.7%
e 4560
 
7.8%
o 4371
 
7.5%
n 3661
 
6.3%
i 3511
 
6.0%
t 3353
 
5.7%
s 3132
 
5.4%
a 2924
 
5.0%
r 2703
 
4.6%
d 1949
 
3.3%
Other values (69) 20188
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 41972
71.9%
Space Separator 8022
 
13.7%
Decimal Number 3044
 
5.2%
Uppercase Letter 2496
 
4.3%
Other Punctuation 2292
 
3.9%
Dash Punctuation 359
 
0.6%
Close Punctuation 67
 
0.1%
Open Punctuation 67
 
0.1%
Math Symbol 55
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4560
10.9%
o 4371
10.4%
n 3661
 
8.7%
i 3511
 
8.4%
t 3353
 
8.0%
s 3132
 
7.5%
a 2924
 
7.0%
r 2703
 
6.4%
d 1949
 
4.6%
l 1849
 
4.4%
Other values (18) 9959
23.7%
Uppercase Letter
ValueCountFrequency (%)
F 434
17.4%
C 331
13.3%
S 219
8.8%
T 176
 
7.1%
H 153
 
6.1%
D 141
 
5.6%
P 137
 
5.5%
R 125
 
5.0%
E 117
 
4.7%
O 116
 
4.6%
Other values (13) 547
21.9%
Other Punctuation
ValueCountFrequency (%)
* 1246
54.4%
, 519
22.6%
/ 262
 
11.4%
. 118
 
5.1%
: 68
 
3.0%
& 42
 
1.8%
' 23
 
1.0%
" 6
 
0.3%
? 3
 
0.1%
# 3
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 630
20.7%
3 528
17.3%
1 468
15.4%
2 429
14.1%
0 229
 
7.5%
5 228
 
7.5%
7 171
 
5.6%
6 135
 
4.4%
9 134
 
4.4%
8 92
 
3.0%
Math Symbol
ValueCountFrequency (%)
> 40
72.7%
< 12
 
21.8%
= 3
 
5.5%
Space Separator
ValueCountFrequency (%)
8022
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 359
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 44468
76.2%
Common 13906
 
23.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4560
 
10.3%
o 4371
 
9.8%
n 3661
 
8.2%
i 3511
 
7.9%
t 3353
 
7.5%
s 3132
 
7.0%
a 2924
 
6.6%
r 2703
 
6.1%
d 1949
 
4.4%
l 1849
 
4.2%
Other values (41) 12455
28.0%
Common
ValueCountFrequency (%)
8022
57.7%
* 1246
 
9.0%
4 630
 
4.5%
3 528
 
3.8%
, 519
 
3.7%
1 468
 
3.4%
2 429
 
3.1%
- 359
 
2.6%
/ 262
 
1.9%
0 229
 
1.6%
Other values (18) 1214
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 58273
99.8%
None 101
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8022
 
13.8%
e 4560
 
7.8%
o 4371
 
7.5%
n 3661
 
6.3%
i 3511
 
6.0%
t 3353
 
5.8%
s 3132
 
5.4%
a 2924
 
5.0%
r 2703
 
4.6%
d 1949
 
3.3%
Other values (67) 20087
34.5%
None
ValueCountFrequency (%)
ø 99
98.0%
õ 2
 
2.0%

Violation Points - 8
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.2%
Missing5462
Missing (%)81.4%
Memory size52.5 KiB
1.0
669 
2.0
295 
3.0
282 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3738
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row2.0
3rd row2.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 669
 
10.0%
2.0 295
 
4.4%
3.0 282
 
4.2%
(Missing) 5462
81.4%

Length

2024-02-15T22:50:21.483402image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:50:21.970225image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 669
53.7%
2.0 295
23.7%
3.0 282
22.6%

Most occurring characters

ValueCountFrequency (%)
. 1246
33.3%
0 1246
33.3%
1 669
17.9%
2 295
 
7.9%
3 282
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2492
66.7%
Other Punctuation 1246
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1246
50.0%
1 669
26.8%
2 295
 
11.8%
3 282
 
11.3%
Other Punctuation
ValueCountFrequency (%)
. 1246
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3738
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1246
33.3%
0 1246
33.3%
1 669
17.9%
2 295
 
7.9%
3 282
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3738
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1246
33.3%
0 1246
33.3%
1 669
17.9%
2 295
 
7.9%
3 282
 
7.5%

Violation Detail - 8
Text

MISSING 

Distinct212
Distinct (%)17.3%
Missing5481
Missing (%)81.7%
Memory size52.5 KiB
2024-02-15T22:50:22.657938image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length888
Median length547
Mean length367.34556
Min length125

Characters and Unicode

Total characters450733
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)5.9%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to eliminate their presence on the premises by: (3) using methods, if pests are found, such as trapping devices or other means of pest control as specified in õ228.204(b) and õ228.208(b) and (c) of this title; and
2nd row228.247 COMPLIANCE Permit Requirement, Prerequisite for Operation A person may not operate a food establishment without a valid permit or license to operate issued by the regulatory authority.
3rd rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (1) Requisite. A person shall not operate a food establishment inside the city without a permit issued by the director. A separate permit is required for: (A) each establishment that is under a separate ownership;
4th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (b) Cleaning, frequency and restrictions.
5th rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
ValueCountFrequency (%)
and 3403
 
5.5%
food 2427
 
3.9%
of 2160
 
3.5%
the 1885
 
3.0%
a 1742
 
2.8%
in 1429
 
2.3%
shall 1359
 
2.2%
be 1276
 
2.0%
or 1199
 
1.9%
equipment 1088
 
1.7%
Other values (1440) 44360
71.2%
2024-02-15T22:50:24.030931image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93176
20.7%
e 37772
 
8.4%
i 26448
 
5.9%
a 26055
 
5.8%
n 25979
 
5.8%
t 25242
 
5.6%
o 24518
 
5.4%
s 24272
 
5.4%
r 17725
 
3.9%
d 14751
 
3.3%
Other values (61) 134795
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 314541
69.8%
Space Separator 93176
 
20.7%
Other Punctuation 12718
 
2.8%
Decimal Number 11175
 
2.5%
Uppercase Letter 9619
 
2.1%
Close Punctuation 4036
 
0.9%
Open Punctuation 4017
 
0.9%
Dash Punctuation 1451
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 37772
12.0%
i 26448
 
8.4%
a 26055
 
8.3%
n 25979
 
8.3%
t 25242
 
8.0%
o 24518
 
7.8%
s 24272
 
7.7%
r 17725
 
5.6%
d 14751
 
4.7%
l 13639
 
4.3%
Other values (17) 78140
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 1313
13.7%
E 1115
11.6%
P 1044
10.9%
C 935
9.7%
T 698
 
7.3%
A 644
 
6.7%
S 579
 
6.0%
L 490
 
5.1%
U 473
 
4.9%
R 412
 
4.3%
Other values (13) 1916
19.9%
Decimal Number
ValueCountFrequency (%)
2 3847
34.4%
1 2279
20.4%
8 1718
15.4%
7 663
 
5.9%
5 644
 
5.8%
4 589
 
5.3%
6 540
 
4.8%
3 475
 
4.3%
0 282
 
2.5%
9 138
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 5814
45.7%
, 5553
43.7%
: 631
 
5.0%
; 562
 
4.4%
/ 119
 
0.9%
' 20
 
0.2%
# 19
 
0.1%
Space Separator
ValueCountFrequency (%)
93176
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4036
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4017
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1451
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 324160
71.9%
Common 126573
 
28.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 37772
11.7%
i 26448
 
8.2%
a 26055
 
8.0%
n 25979
 
8.0%
t 25242
 
7.8%
o 24518
 
7.6%
s 24272
 
7.5%
r 17725
 
5.5%
d 14751
 
4.6%
l 13639
 
4.2%
Other values (40) 87759
27.1%
Common
ValueCountFrequency (%)
93176
73.6%
. 5814
 
4.6%
, 5553
 
4.4%
) 4036
 
3.2%
( 4017
 
3.2%
2 3847
 
3.0%
1 2279
 
1.8%
8 1718
 
1.4%
- 1451
 
1.1%
7 663
 
0.5%
Other values (11) 4019
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 450449
99.9%
None 284
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93176
20.7%
e 37772
 
8.4%
i 26448
 
5.9%
a 26055
 
5.8%
n 25979
 
5.8%
t 25242
 
5.6%
o 24518
 
5.4%
s 24272
 
5.4%
r 17725
 
3.9%
d 14751
 
3.3%
Other values (60) 134511
29.9%
None
ValueCountFrequency (%)
õ 284
100.0%

Violation Memo - 8
Text

MISSING 

Distinct960
Distinct (%)91.7%
Missing5661
Missing (%)84.4%
Memory size52.5 KiB
2024-02-15T22:50:24.624823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length486
Median length141
Mean length49.396371
Min length3

Characters and Unicode

Total characters51718
Distinct characters84
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique915 ?
Unique (%)87.4%

Sample

1st rowOBSERVED FLIES IN ESTABLISHMENT
2nd rowHave permit by next visit.
3rd rowLocation is operating without a valid permit. Establishment is past due on City of Dallas permit fees. Amounts due are aged as follows as of 3/24/2018: Location has fees due aged as follows. 1-30 Days $87.00 31-60 Days $111.00 61-90 Days $0.00 91-120 Days $280.00 121+ Days $0.00 Net due for permit $478.00 Last payment received 12/20/2016 Please contact our office to resolve this issue: Code Compliance Office: 7901 Goforth Road Dallas, TX 75238 (214) 670-8083
4th rowclean floors and clean prep area
5th rowRegister with city of Dallas -> Last warning will issue citation for repeat violation
ValueCountFrequency (%)
in 270
 
3.1%
food 199
 
2.3%
on 186
 
2.1%
and 153
 
1.7%
the 141
 
1.6%
to 135
 
1.5%
clean 126
 
1.4%
all 121
 
1.4%
of 117
 
1.3%
provide 115
 
1.3%
Other values (1370) 7180
82.1%
2024-02-15T22:50:25.547129image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8065
 
15.6%
e 3544
 
6.9%
o 2814
 
5.4%
n 2349
 
4.5%
a 2321
 
4.5%
i 2270
 
4.4%
t 2183
 
4.2%
s 2180
 
4.2%
r 2142
 
4.1%
l 1410
 
2.7%
Other values (74) 22440
43.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 30143
58.3%
Uppercase Letter 12098
23.4%
Space Separator 8065
 
15.6%
Other Punctuation 618
 
1.2%
Decimal Number 616
 
1.2%
Close Punctuation 58
 
0.1%
Dash Punctuation 57
 
0.1%
Open Punctuation 47
 
0.1%
Math Symbol 8
 
< 0.1%
Currency Symbol 6
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3544
11.8%
o 2814
 
9.3%
n 2349
 
7.8%
a 2321
 
7.7%
i 2270
 
7.5%
t 2183
 
7.2%
s 2180
 
7.2%
r 2142
 
7.1%
l 1410
 
4.7%
d 1397
 
4.6%
Other values (17) 7533
25.0%
Uppercase Letter
ValueCountFrequency (%)
E 1408
11.6%
O 1103
 
9.1%
R 934
 
7.7%
I 903
 
7.5%
N 869
 
7.2%
T 860
 
7.1%
A 828
 
6.8%
S 754
 
6.2%
L 627
 
5.2%
D 564
 
4.7%
Other values (16) 3248
26.8%
Other Punctuation
ValueCountFrequency (%)
. 312
50.5%
, 161
26.1%
/ 46
 
7.4%
* 42
 
6.8%
; 15
 
2.4%
: 12
 
1.9%
' 10
 
1.6%
" 9
 
1.5%
& 8
 
1.3%
@ 2
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 114
18.5%
0 107
17.4%
5 63
10.2%
2 63
10.2%
6 56
9.1%
3 54
8.8%
4 53
8.6%
7 45
 
7.3%
8 31
 
5.0%
9 30
 
4.9%
Math Symbol
ValueCountFrequency (%)
< 4
50.0%
+ 3
37.5%
> 1
 
12.5%
Space Separator
ValueCountFrequency (%)
8065
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 6
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 42241
81.7%
Common 9477
 
18.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3544
 
8.4%
o 2814
 
6.7%
n 2349
 
5.6%
a 2321
 
5.5%
i 2270
 
5.4%
t 2183
 
5.2%
s 2180
 
5.2%
r 2142
 
5.1%
l 1410
 
3.3%
E 1408
 
3.3%
Other values (43) 19620
46.4%
Common
ValueCountFrequency (%)
8065
85.1%
. 312
 
3.3%
, 161
 
1.7%
1 114
 
1.2%
0 107
 
1.1%
5 63
 
0.7%
2 63
 
0.7%
) 58
 
0.6%
- 57
 
0.6%
6 56
 
0.6%
Other values (21) 421
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 51715
> 99.9%
Punctuation 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8065
 
15.6%
e 3544
 
6.9%
o 2814
 
5.4%
n 2349
 
4.5%
a 2321
 
4.5%
i 2270
 
4.4%
t 2183
 
4.2%
s 2180
 
4.2%
r 2142
 
4.1%
l 1410
 
2.7%
Other values (71) 22437
43.4%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
None
ValueCountFrequency (%)
é 1
100.0%
Distinct199
Distinct (%)21.3%
Missing5774
Missing (%)86.1%
Memory size52.5 KiB
2024-02-15T22:50:26.078947image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length84
Mean length47.647752
Min length13

Characters and Unicode

Total characters44503
Distinct characters76
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)9.4%

Sample

1st row*14 Wash hands after all other activities
2nd row*35 Eating food, chewing gum, drinking beverages, or using tobacco
3rd row*38 Thawing. under running water criteria - water velocity
4th row*32 Damaged Equipment
5th row*10 Clean Sight and Touch
ValueCountFrequency (%)
food 271
 
3.9%
or 150
 
2.2%
146
 
2.1%
in 108
 
1.6%
and 100
 
1.4%
to 88
 
1.3%
42 86
 
1.2%
for 86
 
1.2%
of 84
 
1.2%
the 73
 
1.1%
Other values (606) 5705
82.7%
2024-02-15T22:50:26.926628image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6047
 
13.6%
e 3576
 
8.0%
o 3480
 
7.8%
n 2731
 
6.1%
i 2613
 
5.9%
t 2593
 
5.8%
s 2298
 
5.2%
a 2221
 
5.0%
r 2119
 
4.8%
d 1518
 
3.4%
Other values (66) 15307
34.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 32256
72.5%
Space Separator 6047
 
13.6%
Decimal Number 2214
 
5.0%
Uppercase Letter 1925
 
4.3%
Other Punctuation 1702
 
3.8%
Dash Punctuation 231
 
0.5%
Open Punctuation 52
 
0.1%
Close Punctuation 52
 
0.1%
Math Symbol 24
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3576
11.1%
o 3480
10.8%
n 2731
 
8.5%
i 2613
 
8.1%
t 2593
 
8.0%
s 2298
 
7.1%
a 2221
 
6.9%
r 2119
 
6.6%
d 1518
 
4.7%
l 1398
 
4.3%
Other values (17) 7709
23.9%
Uppercase Letter
ValueCountFrequency (%)
F 326
16.9%
C 268
13.9%
S 176
9.1%
T 172
8.9%
H 115
 
6.0%
R 108
 
5.6%
D 95
 
4.9%
P 93
 
4.8%
E 92
 
4.8%
N 76
 
3.9%
Other values (12) 404
21.0%
Other Punctuation
ValueCountFrequency (%)
* 934
54.9%
, 367
 
21.6%
/ 213
 
12.5%
. 86
 
5.1%
: 48
 
2.8%
& 31
 
1.8%
' 19
 
1.1%
" 2
 
0.1%
# 1
 
0.1%
; 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 488
22.0%
3 347
15.7%
1 318
14.4%
2 313
14.1%
0 191
 
8.6%
5 172
 
7.8%
7 127
 
5.7%
9 118
 
5.3%
6 84
 
3.8%
8 56
 
2.5%
Math Symbol
ValueCountFrequency (%)
> 18
75.0%
< 5
 
20.8%
= 1
 
4.2%
Space Separator
ValueCountFrequency (%)
6047
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 34181
76.8%
Common 10322
 
23.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3576
 
10.5%
o 3480
 
10.2%
n 2731
 
8.0%
i 2613
 
7.6%
t 2593
 
7.6%
s 2298
 
6.7%
a 2221
 
6.5%
r 2119
 
6.2%
d 1518
 
4.4%
l 1398
 
4.1%
Other values (39) 9634
28.2%
Common
ValueCountFrequency (%)
6047
58.6%
* 934
 
9.0%
4 488
 
4.7%
, 367
 
3.6%
3 347
 
3.4%
1 318
 
3.1%
2 313
 
3.0%
- 231
 
2.2%
/ 213
 
2.1%
0 191
 
1.9%
Other values (17) 873
 
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44417
99.8%
None 86
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6047
 
13.6%
e 3576
 
8.1%
o 3480
 
7.8%
n 2731
 
6.1%
i 2613
 
5.9%
t 2593
 
5.8%
s 2298
 
5.2%
a 2221
 
5.0%
r 2119
 
4.8%
d 1518
 
3.4%
Other values (65) 15221
34.3%
None
ValueCountFrequency (%)
ø 86
100.0%

Violation Points - 9
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.3%
Missing5774
Missing (%)86.1%
Memory size52.5 KiB
1.0
526 
3.0
235 
2.0
173 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters2802
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 526
 
7.8%
3.0 235
 
3.5%
2.0 173
 
2.6%
(Missing) 5774
86.1%

Length

2024-02-15T22:50:27.250340image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:50:27.488051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 526
56.3%
3.0 235
25.2%
2.0 173
 
18.5%

Most occurring characters

ValueCountFrequency (%)
. 934
33.3%
0 934
33.3%
1 526
18.8%
3 235
 
8.4%
2 173
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1868
66.7%
Other Punctuation 934
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 934
50.0%
1 526
28.2%
3 235
 
12.6%
2 173
 
9.3%
Other Punctuation
ValueCountFrequency (%)
. 934
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2802
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 934
33.3%
0 934
33.3%
1 526
18.8%
3 235
 
8.4%
2 173
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2802
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 934
33.3%
0 934
33.3%
1 526
18.8%
3 235
 
8.4%
2 173
 
6.2%

Violation Detail - 9
Text

MISSING 

Distinct201
Distinct (%)21.8%
Missing5785
Missing (%)86.2%
Memory size52.5 KiB
2024-02-15T22:50:27.966950image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length910
Median length547
Mean length363.03142
Min length125

Characters and Unicode

Total characters335078
Distinct characters72
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique90 ?
Unique (%)9.8%

Sample

1st row228.38 Management and Personnel. Hands and Arms. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified under subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and:; (9) after engaging in other activities that contaminate the hands.
2nd row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
3rd row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (B) with sufficient water velocity to agitate and float off loose particles in an overflow; and
4th row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
ValueCountFrequency (%)
and 2707
 
5.9%
food 1842
 
4.0%
of 1579
 
3.4%
the 1291
 
2.8%
a 1134
 
2.5%
shall 1008
 
2.2%
in 960
 
2.1%
be 923
 
2.0%
or 899
 
1.9%
equipment 865
 
1.9%
Other values (1397) 32956
71.4%
2024-02-15T22:50:29.909332image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68875
20.6%
e 28092
 
8.4%
n 19639
 
5.9%
a 19413
 
5.8%
i 19376
 
5.8%
t 18677
 
5.6%
o 18572
 
5.5%
s 18185
 
5.4%
r 13254
 
4.0%
d 11102
 
3.3%
Other values (62) 99893
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 234488
70.0%
Space Separator 68875
 
20.6%
Other Punctuation 9603
 
2.9%
Decimal Number 8111
 
2.4%
Uppercase Letter 6971
 
2.1%
Close Punctuation 2965
 
0.9%
Open Punctuation 2947
 
0.9%
Dash Punctuation 1118
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 28092
12.0%
n 19639
 
8.4%
a 19413
 
8.3%
i 19376
 
8.3%
t 18677
 
8.0%
o 18572
 
7.9%
s 18185
 
7.8%
r 13254
 
5.7%
d 11102
 
4.7%
l 9970
 
4.3%
Other values (17) 58208
24.8%
Uppercase Letter
ValueCountFrequency (%)
F 921
13.2%
E 841
12.1%
P 750
10.8%
C 683
9.8%
T 508
 
7.3%
S 426
 
6.1%
A 408
 
5.9%
L 355
 
5.1%
U 347
 
5.0%
R 301
 
4.3%
Other values (14) 1431
20.5%
Decimal Number
ValueCountFrequency (%)
2 2822
34.8%
1 1644
20.3%
8 1253
15.4%
7 447
 
5.5%
5 443
 
5.5%
6 412
 
5.1%
4 409
 
5.0%
3 377
 
4.6%
0 213
 
2.6%
9 91
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 4356
45.4%
, 4263
44.4%
: 451
 
4.7%
; 411
 
4.3%
/ 93
 
1.0%
# 18
 
0.2%
' 11
 
0.1%
Space Separator
ValueCountFrequency (%)
68875
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2965
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2947
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 241459
72.1%
Common 93619
 
27.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 28092
11.6%
n 19639
 
8.1%
a 19413
 
8.0%
i 19376
 
8.0%
t 18677
 
7.7%
o 18572
 
7.7%
s 18185
 
7.5%
r 13254
 
5.5%
d 11102
 
4.6%
l 9970
 
4.1%
Other values (41) 65179
27.0%
Common
ValueCountFrequency (%)
68875
73.6%
. 4356
 
4.7%
, 4263
 
4.6%
) 2965
 
3.2%
( 2947
 
3.1%
2 2822
 
3.0%
1 1644
 
1.8%
8 1253
 
1.3%
- 1118
 
1.2%
: 451
 
0.5%
Other values (11) 2925
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 334878
99.9%
None 200
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68875
20.6%
e 28092
 
8.4%
n 19639
 
5.9%
a 19413
 
5.8%
i 19376
 
5.8%
t 18677
 
5.6%
o 18572
 
5.5%
s 18185
 
5.4%
r 13254
 
4.0%
d 11102
 
3.3%
Other values (61) 99693
29.8%
None
ValueCountFrequency (%)
õ 200
100.0%

Violation Memo - 9
Text

MISSING 

Distinct711
Distinct (%)92.1%
Missing5936
Missing (%)88.5%
Memory size52.5 KiB
2024-02-15T22:50:30.706195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length499
Median length119.5
Mean length48.873057
Min length5

Characters and Unicode

Total characters37730
Distinct characters81
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique681 ?
Unique (%)88.2%

Sample

1st rowLACK OF HAND WASHING
2nd rowPersonal drink need to separated in bin if you store with food.
3rd rowRaw chicken observed in sink without being submerged under running water.
4th rowBROKEN REACH IN COOLER DOOR GASKETS
5th rowDIRTY ICE SCOOP HANDLE
ValueCountFrequency (%)
in 190
 
3.0%
food 143
 
2.3%
clean 130
 
2.1%
and 119
 
1.9%
on 111
 
1.8%
all 95
 
1.5%
the 92
 
1.5%
of 88
 
1.4%
provide 85
 
1.3%
to 83
 
1.3%
Other values (1159) 5174
82.0%
2024-02-15T22:50:32.003842image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5776
 
15.3%
e 2651
 
7.0%
o 2028
 
5.4%
n 1681
 
4.5%
a 1678
 
4.4%
r 1651
 
4.4%
i 1642
 
4.4%
t 1601
 
4.2%
s 1577
 
4.2%
l 1089
 
2.9%
Other values (71) 16356
43.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22013
58.3%
Uppercase Letter 8913
23.6%
Space Separator 5776
 
15.3%
Other Punctuation 535
 
1.4%
Decimal Number 365
 
1.0%
Dash Punctuation 54
 
0.1%
Close Punctuation 35
 
0.1%
Open Punctuation 35
 
0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2651
12.0%
o 2028
 
9.2%
n 1681
 
7.6%
a 1678
 
7.6%
r 1651
 
7.5%
i 1642
 
7.5%
t 1601
 
7.3%
s 1577
 
7.2%
l 1089
 
4.9%
d 1011
 
4.6%
Other values (17) 5404
24.5%
Uppercase Letter
ValueCountFrequency (%)
E 1041
11.7%
O 851
 
9.5%
R 696
 
7.8%
A 630
 
7.1%
I 629
 
7.1%
T 626
 
7.0%
N 619
 
6.9%
S 575
 
6.5%
L 467
 
5.2%
C 426
 
4.8%
Other values (16) 2353
26.4%
Other Punctuation
ValueCountFrequency (%)
. 257
48.0%
, 144
26.9%
* 45
 
8.4%
/ 32
 
6.0%
& 14
 
2.6%
' 14
 
2.6%
: 10
 
1.9%
" 7
 
1.3%
? 4
 
0.7%
@ 4
 
0.7%
Other values (2) 4
 
0.7%
Decimal Number
ValueCountFrequency (%)
4 61
16.7%
1 50
13.7%
5 46
12.6%
0 41
11.2%
7 31
8.5%
2 30
8.2%
3 30
8.2%
8 29
7.9%
6 26
7.1%
9 21
 
5.8%
Math Symbol
ValueCountFrequency (%)
< 3
75.0%
~ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
5776
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 30926
82.0%
Common 6804
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2651
 
8.6%
o 2028
 
6.6%
n 1681
 
5.4%
a 1678
 
5.4%
r 1651
 
5.3%
i 1642
 
5.3%
t 1601
 
5.2%
s 1577
 
5.1%
l 1089
 
3.5%
E 1041
 
3.4%
Other values (43) 14287
46.2%
Common
ValueCountFrequency (%)
5776
84.9%
. 257
 
3.8%
, 144
 
2.1%
4 61
 
0.9%
- 54
 
0.8%
1 50
 
0.7%
5 46
 
0.7%
* 45
 
0.7%
0 41
 
0.6%
) 35
 
0.5%
Other values (18) 295
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37728
> 99.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5776
 
15.3%
e 2651
 
7.0%
o 2028
 
5.4%
n 1681
 
4.5%
a 1678
 
4.4%
r 1651
 
4.4%
i 1642
 
4.4%
t 1601
 
4.2%
s 1577
 
4.2%
l 1089
 
2.9%
Other values (70) 16354
43.3%
None
ValueCountFrequency (%)
ó 2
100.0%
Distinct175
Distinct (%)27.0%
Missing6059
Missing (%)90.3%
Memory size52.5 KiB
2024-02-15T22:50:32.594882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length71
Mean length47.511556
Min length12

Characters and Unicode

Total characters30835
Distinct characters78
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)12.5%

Sample

1st row*02 Cold Hold (41øF/45øF or below)
2nd row*39 Air-drying required after cleaning & sanitiziing
3rd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
4th row*47 RFSM Certificate - Not Display
5th row*30 Food Establishment Permit
ValueCountFrequency (%)
food 202
 
4.2%
117
 
2.4%
in 95
 
2.0%
or 84
 
1.7%
of 64
 
1.3%
and 64
 
1.3%
equipment 58
 
1.2%
for 57
 
1.2%
to 56
 
1.2%
42 52
 
1.1%
Other values (533) 4002
82.5%
2024-02-15T22:50:33.733195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4281
13.9%
e 2456
 
8.0%
o 2305
 
7.5%
n 1969
 
6.4%
i 1912
 
6.2%
t 1733
 
5.6%
s 1597
 
5.2%
a 1587
 
5.1%
r 1460
 
4.7%
d 1053
 
3.4%
Other values (68) 10482
34.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 22309
72.3%
Space Separator 4281
 
13.9%
Decimal Number 1527
 
5.0%
Uppercase Letter 1271
 
4.1%
Other Punctuation 1184
 
3.8%
Dash Punctuation 175
 
0.6%
Open Punctuation 30
 
0.1%
Close Punctuation 30
 
0.1%
Math Symbol 28
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2456
11.0%
o 2305
10.3%
n 1969
 
8.8%
i 1912
 
8.6%
t 1733
 
7.8%
s 1597
 
7.2%
a 1587
 
7.1%
r 1460
 
6.5%
d 1053
 
4.7%
l 889
 
4.0%
Other values (18) 5348
24.0%
Uppercase Letter
ValueCountFrequency (%)
F 216
17.0%
C 147
11.6%
S 125
9.8%
P 88
 
6.9%
T 81
 
6.4%
D 76
 
6.0%
E 69
 
5.4%
H 62
 
4.9%
O 59
 
4.6%
R 54
 
4.2%
Other values (12) 294
23.1%
Other Punctuation
ValueCountFrequency (%)
* 649
54.8%
, 266
22.5%
/ 142
 
12.0%
. 60
 
5.1%
: 27
 
2.3%
& 26
 
2.2%
' 10
 
0.8%
" 2
 
0.2%
; 1
 
0.1%
# 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
4 333
21.8%
3 241
15.8%
1 215
14.1%
2 206
13.5%
5 122
 
8.0%
0 119
 
7.8%
9 91
 
6.0%
7 87
 
5.7%
6 77
 
5.0%
8 36
 
2.4%
Math Symbol
ValueCountFrequency (%)
> 18
64.3%
< 6
 
21.4%
= 2
 
7.1%
+ 2
 
7.1%
Space Separator
ValueCountFrequency (%)
4281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23580
76.5%
Common 7255
 
23.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2456
 
10.4%
o 2305
 
9.8%
n 1969
 
8.4%
i 1912
 
8.1%
t 1733
 
7.3%
s 1597
 
6.8%
a 1587
 
6.7%
r 1460
 
6.2%
d 1053
 
4.5%
l 889
 
3.8%
Other values (40) 6619
28.1%
Common
ValueCountFrequency (%)
4281
59.0%
* 649
 
8.9%
4 333
 
4.6%
, 266
 
3.7%
3 241
 
3.3%
1 215
 
3.0%
2 206
 
2.8%
- 175
 
2.4%
/ 142
 
2.0%
5 122
 
1.7%
Other values (18) 625
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30797
99.9%
None 38
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4281
13.9%
e 2456
 
8.0%
o 2305
 
7.5%
n 1969
 
6.4%
i 1912
 
6.2%
t 1733
 
5.6%
s 1597
 
5.2%
a 1587
 
5.2%
r 1460
 
4.7%
d 1053
 
3.4%
Other values (66) 10444
33.9%
None
ValueCountFrequency (%)
ø 37
97.4%
õ 1
 
2.6%

Violation Points - 10
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.5%
Missing6059
Missing (%)90.3%
Memory size52.5 KiB
1.0
367 
3.0
153 
2.0
129 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1947
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3.0
2nd row1.0
3rd row3.0
4th row1.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 367
 
5.5%
3.0 153
 
2.3%
2.0 129
 
1.9%
(Missing) 6059
90.3%

Length

2024-02-15T22:50:34.275280image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:50:34.786830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 367
56.5%
3.0 153
23.6%
2.0 129
 
19.9%

Most occurring characters

ValueCountFrequency (%)
. 649
33.3%
0 649
33.3%
1 367
18.8%
3 153
 
7.9%
2 129
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1298
66.7%
Other Punctuation 649
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 649
50.0%
1 367
28.3%
3 153
 
11.8%
2 129
 
9.9%
Other Punctuation
ValueCountFrequency (%)
. 649
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1947
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 649
33.3%
0 649
33.3%
1 367
18.8%
3 153
 
7.9%
2 129
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1947
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 649
33.3%
0 649
33.3%
1 367
18.8%
3 153
 
7.9%
2 129
 
6.6%

Violation Detail - 10
Text

MISSING 

Distinct177
Distinct (%)27.6%
Missing6066
Missing (%)90.4%
Memory size52.5 KiB
2024-02-15T22:50:35.523193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length888
Median length521
Mean length367.76012
Min length125

Characters and Unicode

Total characters236102
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)13.1%

Sample

1st row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
2nd row228.122 Equipment, Utensils, and Linens. Drying, Equipment and Utensils. (a) Equipment and utensils, air-drying required. After cleaning and sanitizing, equipment and utensils: (1) shall be air-dried or used after adequate draining as specified in the first paragraph of 40 CFR õ180.940, Tolerance exemptions for active and inert ingredients for use in antimicrobial formulations (food-contact sanitizing solutions), before contact with food; and
3rd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
4th rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
5th rowSEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (1) Requisite. A person shall not operate a food establishment inside the city without a permit issued by the director. A separate permit is required for: (A) each establishment that is under a separate ownership;
ValueCountFrequency (%)
and 1835
 
5.6%
food 1334
 
4.1%
of 1126
 
3.4%
the 1002
 
3.1%
a 884
 
2.7%
in 744
 
2.3%
shall 705
 
2.2%
be 639
 
2.0%
or 614
 
1.9%
equipment 587
 
1.8%
Other values (1317) 23243
71.1%
2024-02-15T22:50:37.043197image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
48729
20.6%
e 19935
 
8.4%
i 13901
 
5.9%
n 13822
 
5.9%
a 13697
 
5.8%
t 13271
 
5.6%
o 13067
 
5.5%
s 12565
 
5.3%
r 9344
 
4.0%
d 7842
 
3.3%
Other values (61) 69929
29.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 165767
70.2%
Space Separator 48729
 
20.6%
Other Punctuation 6721
 
2.8%
Decimal Number 5470
 
2.3%
Uppercase Letter 4785
 
2.0%
Close Punctuation 1969
 
0.8%
Open Punctuation 1959
 
0.8%
Dash Punctuation 702
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 19935
12.0%
i 13901
 
8.4%
n 13822
 
8.3%
a 13697
 
8.3%
t 13271
 
8.0%
o 13067
 
7.9%
s 12565
 
7.6%
r 9344
 
5.6%
d 7842
 
4.7%
l 7111
 
4.3%
Other values (17) 41212
24.9%
Uppercase Letter
ValueCountFrequency (%)
F 674
14.1%
P 550
11.5%
E 539
11.3%
C 468
9.8%
T 330
 
6.9%
A 316
 
6.6%
S 286
 
6.0%
L 245
 
5.1%
U 240
 
5.0%
R 207
 
4.3%
Other values (13) 930
19.4%
Decimal Number
ValueCountFrequency (%)
2 1892
34.6%
1 1156
21.1%
8 877
16.0%
7 290
 
5.3%
6 285
 
5.2%
4 281
 
5.1%
5 277
 
5.1%
3 223
 
4.1%
0 117
 
2.1%
9 72
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 3027
45.0%
. 2972
44.2%
: 336
 
5.0%
; 315
 
4.7%
/ 51
 
0.8%
# 11
 
0.2%
' 9
 
0.1%
Space Separator
ValueCountFrequency (%)
48729
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1969
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1959
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 702
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 170552
72.2%
Common 65550
 
27.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 19935
11.7%
i 13901
 
8.2%
n 13822
 
8.1%
a 13697
 
8.0%
t 13271
 
7.8%
o 13067
 
7.7%
s 12565
 
7.4%
r 9344
 
5.5%
d 7842
 
4.6%
l 7111
 
4.2%
Other values (40) 45997
27.0%
Common
ValueCountFrequency (%)
48729
74.3%
, 3027
 
4.6%
. 2972
 
4.5%
) 1969
 
3.0%
( 1959
 
3.0%
2 1892
 
2.9%
1 1156
 
1.8%
8 877
 
1.3%
- 702
 
1.1%
: 336
 
0.5%
Other values (11) 1931
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 235985
> 99.9%
None 117
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
48729
20.6%
e 19935
 
8.4%
i 13901
 
5.9%
n 13822
 
5.9%
a 13697
 
5.8%
t 13271
 
5.6%
o 13067
 
5.5%
s 12565
 
5.3%
r 9344
 
4.0%
d 7842
 
3.3%
Other values (60) 69812
29.6%
None
ValueCountFrequency (%)
õ 117
100.0%

Violation Memo - 10
Text

MISSING 

Distinct523
Distinct (%)92.4%
Missing6142
Missing (%)91.6%
Memory size52.5 KiB
2024-02-15T22:50:37.853456image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length845
Median length133
Mean length52.282686
Min length4

Characters and Unicode

Total characters29592
Distinct characters81
Distinct categories12 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique502 ?
Unique (%)88.7%

Sample

1st rowCHEESE 61.5*F(DOUBLE PAN), BLUE CHEESE 48.9*F, RAW BEEF 45*F IN CHU
2nd rowAir dry utensils.
3rd rowRaw shell eggs stored on top of container of cooked penne pasta and adjacent to ready to eat romaine lettuce.
4th rowRegister Servsafe Manager certificate with COD.
5th rowpermit missing on site must be have valid permit display
ValueCountFrequency (%)
in 165
 
3.3%
food 119
 
2.4%
on 102
 
2.1%
and 92
 
1.9%
clean 80
 
1.6%
all 76
 
1.5%
be 71
 
1.4%
provide 71
 
1.4%
to 70
 
1.4%
of 69
 
1.4%
Other values (991) 4045
81.6%
2024-02-15T22:50:39.189485image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4747
 
16.0%
e 2019
 
6.8%
o 1684
 
5.7%
a 1387
 
4.7%
i 1337
 
4.5%
n 1336
 
4.5%
s 1271
 
4.3%
r 1265
 
4.3%
t 1260
 
4.3%
l 822
 
2.8%
Other values (71) 12464
42.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17555
59.3%
Uppercase Letter 6444
 
21.8%
Space Separator 4747
 
16.0%
Other Punctuation 379
 
1.3%
Decimal Number 332
 
1.1%
Close Punctuation 48
 
0.2%
Open Punctuation 48
 
0.2%
Dash Punctuation 31
 
0.1%
Final Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2019
11.5%
o 1684
 
9.6%
a 1387
 
7.9%
i 1337
 
7.6%
n 1336
 
7.6%
s 1271
 
7.2%
r 1265
 
7.2%
t 1260
 
7.2%
l 822
 
4.7%
d 784
 
4.5%
Other values (16) 4390
25.0%
Uppercase Letter
ValueCountFrequency (%)
E 724
11.2%
O 576
 
8.9%
R 492
 
7.6%
I 466
 
7.2%
S 461
 
7.2%
N 459
 
7.1%
A 451
 
7.0%
T 415
 
6.4%
L 380
 
5.9%
D 295
 
4.6%
Other values (16) 1725
26.8%
Other Punctuation
ValueCountFrequency (%)
. 188
49.6%
, 94
24.8%
/ 29
 
7.7%
* 16
 
4.2%
; 15
 
4.0%
: 11
 
2.9%
& 8
 
2.1%
' 7
 
1.8%
" 6
 
1.6%
! 3
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 61
18.4%
0 50
15.1%
2 43
13.0%
5 35
10.5%
6 33
9.9%
7 31
9.3%
4 25
7.5%
3 24
 
7.2%
8 20
 
6.0%
9 10
 
3.0%
Space Separator
ValueCountFrequency (%)
4747
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Final Punctuation
ValueCountFrequency (%)
3
100.0%
Math Symbol
ValueCountFrequency (%)
< 2
100.0%
Other Symbol
ValueCountFrequency (%)
° 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 23999
81.1%
Common 5593
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2019
 
8.4%
o 1684
 
7.0%
a 1387
 
5.8%
i 1337
 
5.6%
n 1336
 
5.6%
s 1271
 
5.3%
r 1265
 
5.3%
t 1260
 
5.3%
l 822
 
3.4%
d 784
 
3.3%
Other values (42) 10834
45.1%
Common
ValueCountFrequency (%)
4747
84.9%
. 188
 
3.4%
, 94
 
1.7%
1 61
 
1.1%
0 50
 
0.9%
) 48
 
0.9%
( 48
 
0.9%
2 43
 
0.8%
5 35
 
0.6%
6 33
 
0.6%
Other values (19) 246
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29586
> 99.9%
Punctuation 4
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4747
 
16.0%
e 2019
 
6.8%
o 1684
 
5.7%
a 1387
 
4.7%
i 1337
 
4.5%
n 1336
 
4.5%
s 1271
 
4.3%
r 1265
 
4.3%
t 1260
 
4.3%
l 822
 
2.8%
Other values (68) 12458
42.1%
Punctuation
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
None
ValueCountFrequency (%)
° 2
100.0%
Distinct133
Distinct (%)30.8%
Missing6276
Missing (%)93.6%
Memory size52.5 KiB
2024-02-15T22:50:39.883886image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length65.5
Mean length46.909722
Min length12

Characters and Unicode

Total characters20265
Distinct characters74
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)14.4%

Sample

1st row*43 Light 20 foot : Reach-in cooler
2nd row*40 Reuse of single service articles
3rd row*21 RFSM - Not On Site
4th row*47 RFSM Certificate - Not Display
5th row*47 Conditions of Permit-in use of food equipment
ValueCountFrequency (%)
food 154
 
4.8%
or 64
 
2.0%
61
 
1.9%
in 56
 
1.8%
of 54
 
1.7%
the 43
 
1.4%
equipment 40
 
1.3%
42 38
 
1.2%
47 36
 
1.1%
dirty 34
 
1.1%
Other values (450) 2604
81.8%
2024-02-15T22:50:41.188878image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2795
13.8%
o 1605
 
7.9%
e 1561
 
7.7%
n 1290
 
6.4%
i 1274
 
6.3%
t 1157
 
5.7%
s 1036
 
5.1%
a 981
 
4.8%
r 927
 
4.6%
d 705
 
3.5%
Other values (64) 6934
34.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14669
72.4%
Space Separator 2795
 
13.8%
Decimal Number 1026
 
5.1%
Uppercase Letter 858
 
4.2%
Other Punctuation 743
 
3.7%
Dash Punctuation 116
 
0.6%
Close Punctuation 24
 
0.1%
Open Punctuation 24
 
0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 1605
10.9%
e 1561
10.6%
n 1290
 
8.8%
i 1274
 
8.7%
t 1157
 
7.9%
s 1036
 
7.1%
a 981
 
6.7%
r 927
 
6.3%
d 705
 
4.8%
l 581
 
4.0%
Other values (17) 3552
24.2%
Uppercase Letter
ValueCountFrequency (%)
F 144
16.8%
C 102
11.9%
S 71
 
8.3%
T 61
 
7.1%
D 54
 
6.3%
E 48
 
5.6%
P 48
 
5.6%
R 47
 
5.5%
H 46
 
5.4%
O 39
 
4.5%
Other values (12) 198
23.1%
Decimal Number
ValueCountFrequency (%)
4 217
21.2%
3 174
17.0%
1 150
14.6%
2 140
13.6%
5 81
 
7.9%
0 77
 
7.5%
7 69
 
6.7%
9 48
 
4.7%
6 44
 
4.3%
8 26
 
2.5%
Other Punctuation
ValueCountFrequency (%)
* 432
58.1%
, 170
 
22.9%
/ 62
 
8.3%
. 44
 
5.9%
: 17
 
2.3%
& 11
 
1.5%
' 5
 
0.7%
; 2
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 7
70.0%
< 2
 
20.0%
= 1
 
10.0%
Space Separator
ValueCountFrequency (%)
2795
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 15527
76.6%
Common 4738
 
23.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 1605
 
10.3%
e 1561
 
10.1%
n 1290
 
8.3%
i 1274
 
8.2%
t 1157
 
7.5%
s 1036
 
6.7%
a 981
 
6.3%
r 927
 
6.0%
d 705
 
4.5%
l 581
 
3.7%
Other values (39) 4410
28.4%
Common
ValueCountFrequency (%)
2795
59.0%
* 432
 
9.1%
4 217
 
4.6%
3 174
 
3.7%
, 170
 
3.6%
1 150
 
3.2%
2 140
 
3.0%
- 116
 
2.4%
5 81
 
1.7%
0 77
 
1.6%
Other values (15) 386
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20238
99.9%
None 27
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2795
13.8%
o 1605
 
7.9%
e 1561
 
7.7%
n 1290
 
6.4%
i 1274
 
6.3%
t 1157
 
5.7%
s 1036
 
5.1%
a 981
 
4.8%
r 927
 
4.6%
d 705
 
3.5%
Other values (63) 6907
34.1%
None
ValueCountFrequency (%)
ø 27
100.0%

Violation Points - 11
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)0.7%
Missing6276
Missing (%)93.6%
Memory size52.5 KiB
1.0
250 
3.0
93 
2.0
89 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters1296
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 250
 
3.7%
3.0 93
 
1.4%
2.0 89
 
1.3%
(Missing) 6276
93.6%

Length

2024-02-15T22:50:41.727063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:50:42.237420image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 250
57.9%
3.0 93
 
21.5%
2.0 89
 
20.6%

Most occurring characters

ValueCountFrequency (%)
. 432
33.3%
0 432
33.3%
1 250
19.3%
3 93
 
7.2%
2 89
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 864
66.7%
Other Punctuation 432
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 432
50.0%
1 250
28.9%
3 93
 
10.8%
2 89
 
10.3%
Other Punctuation
ValueCountFrequency (%)
. 432
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1296
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 432
33.3%
0 432
33.3%
1 250
19.3%
3 93
 
7.2%
2 89
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1296
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 432
33.3%
0 432
33.3%
1 250
19.3%
3 93
 
7.2%
2 89
 
6.9%

Violation Detail - 11
Text

MISSING 

Distinct136
Distinct (%)32.0%
Missing6283
Missing (%)93.7%
Memory size52.5 KiB
2024-02-15T22:50:42.903232image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length829
Median length475
Mean length362.84941
Min length125

Characters and Unicode

Total characters154211
Distinct characters71
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)15.8%

Sample

1st row228.177 Physical Facilities. Lighting, intensity. The light intensity shall be: (2) at least 215 lux (20 foot candles): (B) inside equipment such as reach-in and under-counter refrigerators; or
2nd row228.112 Equipment, Utensils, and Linens. Utensils and Temperature and Pressure Measuring Devices. (c) Single-service and single-use articles use limitation. (1) Single-service and single-use articles may not be reused.
3rd rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
4th rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
5th row228.248 Compliance Conditions of retention, responsibilities of the permit holder. Upon acceptance of the permit issued by the regulatory authority, the permit holder in order to retain the permit shall: (11) Notify customers that a copy of the most recent establishment inspection report is available upon request by posting a sign or placard in a location in the food establishment that is conspicuous to customers or by another method acceptable to the regulatory authority.
ValueCountFrequency (%)
and 1150
 
5.4%
food 900
 
4.2%
of 770
 
3.6%
the 675
 
3.2%
a 559
 
2.6%
shall 469
 
2.2%
in 458
 
2.1%
be 419
 
2.0%
or 414
 
1.9%
equipment 362
 
1.7%
Other values (1166) 15208
71.1%
2024-02-15T22:50:44.222275image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32134
20.8%
e 12830
 
8.3%
i 8892
 
5.8%
n 8871
 
5.8%
a 8828
 
5.7%
t 8701
 
5.6%
o 8683
 
5.6%
s 8137
 
5.3%
r 5966
 
3.9%
d 5068
 
3.3%
Other values (61) 46101
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 107365
69.6%
Space Separator 32134
 
20.8%
Other Punctuation 4285
 
2.8%
Decimal Number 3718
 
2.4%
Uppercase Letter 3551
 
2.3%
Close Punctuation 1344
 
0.9%
Open Punctuation 1338
 
0.9%
Dash Punctuation 476
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 12830
11.9%
i 8892
 
8.3%
n 8871
 
8.3%
a 8828
 
8.2%
t 8701
 
8.1%
o 8683
 
8.1%
s 8137
 
7.6%
r 5966
 
5.6%
d 5068
 
4.7%
l 4582
 
4.3%
Other values (17) 26807
25.0%
Uppercase Letter
ValueCountFrequency (%)
F 445
12.5%
E 431
12.1%
P 354
10.0%
C 340
9.6%
T 253
 
7.1%
A 233
 
6.6%
S 223
 
6.3%
L 185
 
5.2%
R 160
 
4.5%
U 156
 
4.4%
Other values (13) 771
21.7%
Decimal Number
ValueCountFrequency (%)
2 1288
34.6%
1 745
20.0%
8 561
15.1%
7 227
 
6.1%
5 206
 
5.5%
6 189
 
5.1%
4 188
 
5.1%
3 180
 
4.8%
0 86
 
2.3%
9 48
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 1979
46.2%
, 1830
42.7%
: 223
 
5.2%
; 212
 
4.9%
/ 32
 
0.7%
# 8
 
0.2%
' 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
32134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1344
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 476
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 110916
71.9%
Common 43295
 
28.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 12830
11.6%
i 8892
 
8.0%
n 8871
 
8.0%
a 8828
 
8.0%
t 8701
 
7.8%
o 8683
 
7.8%
s 8137
 
7.3%
r 5966
 
5.4%
d 5068
 
4.6%
l 4582
 
4.1%
Other values (40) 30358
27.4%
Common
ValueCountFrequency (%)
32134
74.2%
. 1979
 
4.6%
, 1830
 
4.2%
) 1344
 
3.1%
( 1338
 
3.1%
2 1288
 
3.0%
1 745
 
1.7%
8 561
 
1.3%
- 476
 
1.1%
7 227
 
0.5%
Other values (11) 1373
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 154135
> 99.9%
None 76
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32134
20.8%
e 12830
 
8.3%
i 8892
 
5.8%
n 8871
 
5.8%
a 8828
 
5.7%
t 8701
 
5.6%
o 8683
 
5.6%
s 8137
 
5.3%
r 5966
 
3.9%
d 5068
 
3.3%
Other values (60) 46025
29.9%
None
ValueCountFrequency (%)
õ 76
100.0%

Violation Memo - 11
Text

MISSING 

Distinct371
Distinct (%)95.6%
Missing6320
Missing (%)94.2%
Memory size52.5 KiB
2024-02-15T22:50:44.828822image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length843
Median length110
Mean length53.60567
Min length4

Characters and Unicode

Total characters20799
Distinct characters79
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique359 ?
Unique (%)92.5%

Sample

1st rowREPAIR ALL
2nd rowDo not reuse bowl as scoop. Use scoop that is handled.
3rd rowNo Staff able to provide evidence of Registered Food Service Manager training. Individual who has RFSM certificate on display not present at time of inspection. Registered Food Service Manager certified through the City of Dallas must be present at all times food is prepared and served. This blue certificate may be obtained from our Goforth Office: Code Compliance Office: 7901 Goforth Road Dallas, TX 75238 (214) 670-8083 Requirements are: -Photo ID -Evidence of successful completion of a Registered Food Service Manager course approved by the State of Texas Department of Health or a nationally recognized sanitarian foundations (ANSI or NSF). -$30.00 per year (Cash, Check, or Money Order) It is advised to call ahead on day of visit to verify above information. Please note the offices close from12:00pm to 1:00pm.
4th rowmissing current RFSM certification must be have current FSM registered with the city
5th rowPOST SIGN” CURRENT HEALTH INSPECTION IS AVAILABLE UPON REQUEST”
ValueCountFrequency (%)
in 101
 
2.9%
food 81
 
2.3%
on 63
 
1.8%
and 57
 
1.7%
clean 55
 
1.6%
to 47
 
1.4%
all 46
 
1.3%
of 45
 
1.3%
at 42
 
1.2%
must 39
 
1.1%
Other values (908) 2876
83.3%
2024-02-15T22:50:45.760990image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3214
 
15.5%
e 1490
 
7.2%
o 1127
 
5.4%
i 946
 
4.5%
a 944
 
4.5%
n 938
 
4.5%
t 889
 
4.3%
s 871
 
4.2%
r 845
 
4.1%
l 615
 
3.0%
Other values (69) 8920
42.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 12381
59.5%
Uppercase Letter 4594
 
22.1%
Space Separator 3214
 
15.5%
Other Punctuation 300
 
1.4%
Decimal Number 231
 
1.1%
Close Punctuation 27
 
0.1%
Dash Punctuation 24
 
0.1%
Open Punctuation 23
 
0.1%
Currency Symbol 2
 
< 0.1%
Final Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1490
12.0%
o 1127
 
9.1%
i 946
 
7.6%
a 944
 
7.6%
n 938
 
7.6%
t 889
 
7.2%
s 871
 
7.0%
r 845
 
6.8%
l 615
 
5.0%
d 541
 
4.4%
Other values (16) 3175
25.6%
Uppercase Letter
ValueCountFrequency (%)
E 512
 
11.1%
O 421
 
9.2%
R 372
 
8.1%
T 335
 
7.3%
I 313
 
6.8%
A 309
 
6.7%
S 302
 
6.6%
N 290
 
6.3%
L 236
 
5.1%
D 222
 
4.8%
Other values (16) 1282
27.9%
Other Punctuation
ValueCountFrequency (%)
. 160
53.3%
, 81
27.0%
/ 14
 
4.7%
* 11
 
3.7%
& 10
 
3.3%
: 9
 
3.0%
" 6
 
2.0%
' 5
 
1.7%
; 2
 
0.7%
! 2
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 43
18.6%
1 34
14.7%
3 29
12.6%
2 22
9.5%
4 21
9.1%
6 20
8.7%
5 19
8.2%
7 16
 
6.9%
8 15
 
6.5%
9 12
 
5.2%
Space Separator
ValueCountFrequency (%)
3214
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Currency Symbol
ValueCountFrequency (%)
$ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
< 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16975
81.6%
Common 3824
 
18.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1490
 
8.8%
o 1127
 
6.6%
i 946
 
5.6%
a 944
 
5.6%
n 938
 
5.5%
t 889
 
5.2%
s 871
 
5.1%
r 845
 
5.0%
l 615
 
3.6%
d 541
 
3.2%
Other values (42) 7769
45.8%
Common
ValueCountFrequency (%)
3214
84.0%
. 160
 
4.2%
, 81
 
2.1%
0 43
 
1.1%
1 34
 
0.9%
3 29
 
0.8%
) 27
 
0.7%
- 24
 
0.6%
( 23
 
0.6%
2 22
 
0.6%
Other values (17) 167
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20797
> 99.9%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3214
 
15.5%
e 1490
 
7.2%
o 1127
 
5.4%
i 946
 
4.5%
a 944
 
4.5%
n 938
 
4.5%
t 889
 
4.3%
s 871
 
4.2%
r 845
 
4.1%
l 615
 
3.0%
Other values (68) 8918
42.9%
Punctuation
ValueCountFrequency (%)
2
100.0%
Distinct106
Distinct (%)41.2%
Missing6451
Missing (%)96.2%
Memory size52.5 KiB
2024-02-15T22:50:46.222718image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length66
Mean length47.498054
Min length20

Characters and Unicode

Total characters12207
Distinct characters69
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)24.5%

Sample

1st row*41 Food storage containers, identified with common name of food.
2nd row*29 Sanitizing solutions, testing devices
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*29 Concentration of the sanitizing solution shall be accurately determined by using a test kit or o
5th row*31 Individual, disposable towels
ValueCountFrequency (%)
food 78
 
4.1%
in 38
 
2.0%
or 37
 
1.9%
and 31
 
1.6%
the 28
 
1.5%
26
 
1.4%
for 24
 
1.3%
to 24
 
1.3%
47 24
 
1.3%
of 23
 
1.2%
Other values (401) 1585
82.6%
2024-02-15T22:50:47.061146image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1680
13.8%
o 965
 
7.9%
e 957
 
7.8%
n 809
 
6.6%
i 736
 
6.0%
t 700
 
5.7%
s 682
 
5.6%
a 624
 
5.1%
r 562
 
4.6%
d 410
 
3.4%
Other values (59) 4082
33.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 8918
73.1%
Space Separator 1680
 
13.8%
Decimal Number 590
 
4.8%
Uppercase Letter 474
 
3.9%
Other Punctuation 446
 
3.7%
Dash Punctuation 71
 
0.6%
Open Punctuation 13
 
0.1%
Close Punctuation 13
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 965
10.8%
e 957
10.7%
n 809
 
9.1%
i 736
 
8.3%
t 700
 
7.8%
s 682
 
7.6%
a 624
 
7.0%
r 562
 
6.3%
d 410
 
4.6%
l 338
 
3.8%
Other values (17) 2135
23.9%
Uppercase Letter
ValueCountFrequency (%)
F 67
14.1%
C 56
11.8%
S 50
10.5%
T 37
 
7.8%
D 31
 
6.5%
P 27
 
5.7%
E 26
 
5.5%
R 23
 
4.9%
O 22
 
4.6%
H 22
 
4.6%
Other values (10) 113
23.8%
Decimal Number
ValueCountFrequency (%)
4 129
21.9%
3 104
17.6%
1 83
14.1%
2 78
13.2%
5 56
9.5%
7 42
 
7.1%
0 37
 
6.3%
9 26
 
4.4%
6 23
 
3.9%
8 12
 
2.0%
Other Punctuation
ValueCountFrequency (%)
* 257
57.6%
, 104
23.3%
/ 41
 
9.2%
. 25
 
5.6%
: 11
 
2.5%
& 5
 
1.1%
' 3
 
0.7%
Space Separator
ValueCountFrequency (%)
1680
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Math Symbol
ValueCountFrequency (%)
> 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9392
76.9%
Common 2815
 
23.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 965
 
10.3%
e 957
 
10.2%
n 809
 
8.6%
i 736
 
7.8%
t 700
 
7.5%
s 682
 
7.3%
a 624
 
6.6%
r 562
 
6.0%
d 410
 
4.4%
l 338
 
3.6%
Other values (37) 2609
27.8%
Common
ValueCountFrequency (%)
1680
59.7%
* 257
 
9.1%
4 129
 
4.6%
, 104
 
3.7%
3 104
 
3.7%
1 83
 
2.9%
2 78
 
2.8%
- 71
 
2.5%
5 56
 
2.0%
7 42
 
1.5%
Other values (12) 211
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12191
99.9%
None 16
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1680
13.8%
o 965
 
7.9%
e 957
 
7.9%
n 809
 
6.6%
i 736
 
6.0%
t 700
 
5.7%
s 682
 
5.6%
a 624
 
5.1%
r 562
 
4.6%
d 410
 
3.4%
Other values (58) 4066
33.4%
None
ValueCountFrequency (%)
ø 16
100.0%

Violation Points - 12
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)1.2%
Missing6451
Missing (%)96.2%
Memory size52.5 KiB
1.0
152 
2.0
53 
3.0
52 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters771
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row2.0

Common Values

ValueCountFrequency (%)
1.0 152
 
2.3%
2.0 53
 
0.8%
3.0 52
 
0.8%
(Missing) 6451
96.2%

Length

2024-02-15T22:50:47.350933image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:50:47.618197image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 152
59.1%
2.0 53
 
20.6%
3.0 52
 
20.2%

Most occurring characters

ValueCountFrequency (%)
. 257
33.3%
0 257
33.3%
1 152
19.7%
2 53
 
6.9%
3 52
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 514
66.7%
Other Punctuation 257
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 257
50.0%
1 152
29.6%
2 53
 
10.3%
3 52
 
10.1%
Other Punctuation
ValueCountFrequency (%)
. 257
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 771
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 257
33.3%
0 257
33.3%
1 152
19.7%
2 53
 
6.9%
3 52
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 771
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 257
33.3%
0 257
33.3%
1 152
19.7%
2 53
 
6.9%
3 52
 
6.7%

Violation Detail - 12
Text

MISSING 

Distinct108
Distinct (%)43.2%
Missing6458
Missing (%)96.3%
Memory size52.5 KiB
2024-02-15T22:50:48.039662image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length829
Median length487.5
Mean length358.868
Min length171

Characters and Unicode

Total characters89717
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)26.4%

Sample

1st row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
2nd row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (p) Warewashing equipment, determining chemical sanitizer concentration. Concentration of the sanitizing solution shall be accurately determined by using a test kit or other device.
5th row228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;
ValueCountFrequency (%)
and 695
 
5.6%
food 472
 
3.8%
of 449
 
3.6%
the 355
 
2.9%
a 319
 
2.6%
shall 274
 
2.2%
in 264
 
2.1%
equipment 258
 
2.1%
or 246
 
2.0%
be 241
 
2.0%
Other values (1031) 8740
71.0%
2024-02-15T22:50:48.885051image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18378
20.5%
e 7482
 
8.3%
i 5395
 
6.0%
n 5393
 
6.0%
a 5128
 
5.7%
t 5018
 
5.6%
s 4993
 
5.6%
o 4872
 
5.4%
r 3422
 
3.8%
d 2872
 
3.2%
Other values (59) 26764
29.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 62811
70.0%
Space Separator 18378
 
20.5%
Other Punctuation 2584
 
2.9%
Decimal Number 2210
 
2.5%
Uppercase Letter 1935
 
2.2%
Close Punctuation 763
 
0.9%
Open Punctuation 759
 
0.8%
Dash Punctuation 277
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7482
11.9%
i 5395
 
8.6%
n 5393
 
8.6%
a 5128
 
8.2%
t 5018
 
8.0%
s 4993
 
7.9%
o 4872
 
7.8%
r 3422
 
5.4%
d 2872
 
4.6%
l 2696
 
4.3%
Other values (17) 15540
24.7%
Uppercase Letter
ValueCountFrequency (%)
F 244
12.6%
E 240
12.4%
P 222
11.5%
C 173
8.9%
A 124
 
6.4%
S 123
 
6.4%
T 117
 
6.0%
L 109
 
5.6%
U 106
 
5.5%
R 77
 
4.0%
Other values (11) 400
20.7%
Decimal Number
ValueCountFrequency (%)
2 778
35.2%
1 440
19.9%
8 361
16.3%
6 129
 
5.8%
7 117
 
5.3%
5 111
 
5.0%
3 103
 
4.7%
4 91
 
4.1%
0 59
 
2.7%
9 21
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 1191
46.1%
, 1133
43.8%
: 118
 
4.6%
; 115
 
4.5%
/ 21
 
0.8%
# 4
 
0.2%
' 2
 
0.1%
Space Separator
ValueCountFrequency (%)
18378
100.0%
Close Punctuation
ValueCountFrequency (%)
) 763
100.0%
Open Punctuation
ValueCountFrequency (%)
( 759
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 277
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 64746
72.2%
Common 24971
 
27.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7482
11.6%
i 5395
 
8.3%
n 5393
 
8.3%
a 5128
 
7.9%
t 5018
 
7.8%
s 4993
 
7.7%
o 4872
 
7.5%
r 3422
 
5.3%
d 2872
 
4.4%
l 2696
 
4.2%
Other values (38) 17475
27.0%
Common
ValueCountFrequency (%)
18378
73.6%
. 1191
 
4.8%
, 1133
 
4.5%
2 778
 
3.1%
) 763
 
3.1%
( 759
 
3.0%
1 440
 
1.8%
8 361
 
1.4%
- 277
 
1.1%
6 129
 
0.5%
Other values (11) 762
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 89658
99.9%
None 59
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18378
20.5%
e 7482
 
8.3%
i 5395
 
6.0%
n 5393
 
6.0%
a 5128
 
5.7%
t 5018
 
5.6%
s 4993
 
5.6%
o 4872
 
5.4%
r 3422
 
3.8%
d 2872
 
3.2%
Other values (58) 26705
29.8%
None
ValueCountFrequency (%)
õ 59
100.0%

Violation Memo - 12
Text

MISSING 

Distinct214
Distinct (%)97.7%
Missing6489
Missing (%)96.7%
Memory size52.5 KiB
2024-02-15T22:50:49.468774image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length286
Median length80
Mean length48.639269
Min length5

Characters and Unicode

Total characters10652
Distinct characters75
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique210 ?
Unique (%)95.9%

Sample

1st rowLabel white containers with bulk food.
2nd rowPlease provide test strips for
3rd rowfloors under equipment and in all areas dirty with soils accumulations, food debris, litter and grease spills must be clean to avoid cross contamination walls with spills in all areas must be clean o avoid contamination
4th rowprovide test strips for sanitizer.
5th rowprovide paper towels at hand sink
ValueCountFrequency (%)
in 66
 
3.7%
food 46
 
2.6%
clean 34
 
1.9%
and 30
 
1.7%
all 27
 
1.5%
observed 27
 
1.5%
on 27
 
1.5%
of 25
 
1.4%
to 22
 
1.2%
containers 20
 
1.1%
Other values (579) 1442
81.7%
2024-02-15T22:50:50.389088image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1623
 
15.2%
e 784
 
7.4%
o 592
 
5.6%
s 537
 
5.0%
i 523
 
4.9%
n 505
 
4.7%
a 498
 
4.7%
r 465
 
4.4%
t 438
 
4.1%
l 342
 
3.2%
Other values (65) 4345
40.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6632
62.3%
Uppercase Letter 2100
 
19.7%
Space Separator 1623
 
15.2%
Other Punctuation 154
 
1.4%
Decimal Number 96
 
0.9%
Close Punctuation 17
 
0.2%
Dash Punctuation 15
 
0.1%
Open Punctuation 14
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 784
11.8%
o 592
 
8.9%
s 537
 
8.1%
i 523
 
7.9%
n 505
 
7.6%
a 498
 
7.5%
r 465
 
7.0%
t 438
 
6.6%
l 342
 
5.2%
d 301
 
4.5%
Other values (16) 1647
24.8%
Uppercase Letter
ValueCountFrequency (%)
E 251
12.0%
O 205
 
9.8%
R 155
 
7.4%
N 153
 
7.3%
A 151
 
7.2%
I 148
 
7.0%
S 140
 
6.7%
T 123
 
5.9%
D 113
 
5.4%
C 108
 
5.1%
Other values (15) 553
26.3%
Decimal Number
ValueCountFrequency (%)
4 21
21.9%
0 15
15.6%
1 14
14.6%
9 12
12.5%
3 11
11.5%
5 7
 
7.3%
8 5
 
5.2%
7 4
 
4.2%
2 4
 
4.2%
6 3
 
3.1%
Other Punctuation
ValueCountFrequency (%)
. 77
50.0%
, 49
31.8%
/ 14
 
9.1%
' 6
 
3.9%
* 2
 
1.3%
" 2
 
1.3%
: 2
 
1.3%
; 1
 
0.6%
& 1
 
0.6%
Space Separator
ValueCountFrequency (%)
1623
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 8732
82.0%
Common 1920
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 784
 
9.0%
o 592
 
6.8%
s 537
 
6.1%
i 523
 
6.0%
n 505
 
5.8%
a 498
 
5.7%
r 465
 
5.3%
t 438
 
5.0%
l 342
 
3.9%
d 301
 
3.4%
Other values (41) 3747
42.9%
Common
ValueCountFrequency (%)
1623
84.5%
. 77
 
4.0%
, 49
 
2.6%
4 21
 
1.1%
) 17
 
0.9%
0 15
 
0.8%
- 15
 
0.8%
1 14
 
0.7%
( 14
 
0.7%
/ 14
 
0.7%
Other values (14) 61
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1623
 
15.2%
e 784
 
7.4%
o 592
 
5.6%
s 537
 
5.0%
i 523
 
4.9%
n 505
 
4.7%
a 498
 
4.7%
r 465
 
4.4%
t 438
 
4.1%
l 342
 
3.2%
Other values (65) 4345
40.8%
Distinct76
Distinct (%)50.0%
Missing6556
Missing (%)97.7%
Memory size52.5 KiB
2024-02-15T22:50:50.902958image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length65
Mean length47.473684
Min length13

Characters and Unicode

Total characters7216
Distinct characters71
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)26.3%

Sample

1st row*42 Floors/walls/ceiling/nonfood dirty
2nd row*28 Date marking > 24 hrs,on site,temp 41F
3rd row*32 Food-contact surfaces. smooth, non-absorbent and easily cleanable
4th row*19 Water & Plumbing in good repair- per code
5th row*35 Eating food, chewing gum, drinking beverages, or using tobacco
ValueCountFrequency (%)
food 51
 
4.6%
24
 
2.2%
in 23
 
2.1%
or 21
 
1.9%
good 18
 
1.6%
45 17
 
1.5%
repair 15
 
1.4%
42 15
 
1.4%
for 15
 
1.4%
maintained 14
 
1.3%
Other values (304) 890
80.7%
2024-02-15T22:50:51.713460image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
970
 
13.4%
e 592
 
8.2%
o 565
 
7.8%
n 453
 
6.3%
i 423
 
5.9%
t 423
 
5.9%
a 375
 
5.2%
s 362
 
5.0%
r 355
 
4.9%
d 265
 
3.7%
Other values (61) 2433
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5280
73.2%
Space Separator 970
 
13.4%
Decimal Number 349
 
4.8%
Other Punctuation 295
 
4.1%
Uppercase Letter 260
 
3.6%
Dash Punctuation 47
 
0.7%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 592
11.2%
o 565
10.7%
n 453
 
8.6%
i 423
 
8.0%
t 423
 
8.0%
a 375
 
7.1%
s 362
 
6.9%
r 355
 
6.7%
d 265
 
5.0%
l 215
 
4.1%
Other values (17) 1252
23.7%
Uppercase Letter
ValueCountFrequency (%)
F 58
22.3%
C 36
13.8%
P 22
 
8.5%
S 19
 
7.3%
D 17
 
6.5%
R 12
 
4.6%
E 12
 
4.6%
T 11
 
4.2%
M 11
 
4.2%
W 10
 
3.8%
Other values (10) 52
20.0%
Decimal Number
ValueCountFrequency (%)
4 93
26.6%
3 62
17.8%
2 42
12.0%
1 38
10.9%
5 38
10.9%
0 23
 
6.6%
7 19
 
5.4%
6 15
 
4.3%
9 10
 
2.9%
8 9
 
2.6%
Other Punctuation
ValueCountFrequency (%)
* 152
51.5%
, 65
22.0%
/ 38
 
12.9%
. 15
 
5.1%
: 11
 
3.7%
& 9
 
3.1%
' 4
 
1.4%
§ 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 2
66.7%
< 1
33.3%
Space Separator
ValueCountFrequency (%)
970
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5540
76.8%
Common 1676
 
23.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 592
 
10.7%
o 565
 
10.2%
n 453
 
8.2%
i 423
 
7.6%
t 423
 
7.6%
a 375
 
6.8%
s 362
 
6.5%
r 355
 
6.4%
d 265
 
4.8%
l 215
 
3.9%
Other values (37) 1512
27.3%
Common
ValueCountFrequency (%)
970
57.9%
* 152
 
9.1%
4 93
 
5.5%
, 65
 
3.9%
3 62
 
3.7%
- 47
 
2.8%
2 42
 
2.5%
/ 38
 
2.3%
1 38
 
2.3%
5 38
 
2.3%
Other values (14) 131
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7205
99.8%
None 11
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
970
13.5%
e 592
 
8.2%
o 565
 
7.8%
n 453
 
6.3%
i 423
 
5.9%
t 423
 
5.9%
a 375
 
5.2%
s 362
 
5.0%
r 355
 
4.9%
d 265
 
3.7%
Other values (59) 2422
33.6%
None
ValueCountFrequency (%)
ø 10
90.9%
§ 1
 
9.1%

Violation Points - 13
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)2.0%
Missing6556
Missing (%)97.7%
Memory size52.5 KiB
1.0
100 
3.0
29 
2.0
23 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters456
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row2.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 100
 
1.5%
3.0 29
 
0.4%
2.0 23
 
0.3%
(Missing) 6556
97.7%

Length

2024-02-15T22:50:52.010162image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:50:52.264992image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 100
65.8%
3.0 29
 
19.1%
2.0 23
 
15.1%

Most occurring characters

ValueCountFrequency (%)
. 152
33.3%
0 152
33.3%
1 100
21.9%
3 29
 
6.4%
2 23
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 304
66.7%
Other Punctuation 152
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 152
50.0%
1 100
32.9%
3 29
 
9.5%
2 23
 
7.6%
Other Punctuation
ValueCountFrequency (%)
. 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 152
33.3%
0 152
33.3%
1 100
21.9%
3 29
 
6.4%
2 23
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 152
33.3%
0 152
33.3%
1 100
21.9%
3 29
 
6.4%
2 23
 
5.0%

Violation Detail - 13
Text

MISSING 

Distinct75
Distinct (%)49.7%
Missing6557
Missing (%)97.7%
Memory size52.5 KiB
2024-02-15T22:50:52.690341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length815
Median length434
Mean length348.61589
Min length125

Characters and Unicode

Total characters52641
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)25.8%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
2nd row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
3rd row228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast (j) Food-contact surfaces. All food contact surfaces, counters, or work surfaces in the establishment shall be smooth, non-absorbent and easily cleanable.
4th row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; and
5th row228.42 Management and Personnel. Food Contamination Prevention (a) Eating, drinking, or using tobacco. (1) except as specified in paragraph (2) of this subsection, an employee shall eat, drink, or use any form of tobacco only in designated areas where the contamination of exposed food; clean equipment, utensils, and linens; unwrapped single-service and single-use articles; or other items needing protection cannot result.
ValueCountFrequency (%)
and 423
 
5.9%
food 258
 
3.6%
of 248
 
3.5%
the 194
 
2.7%
a 181
 
2.5%
shall 160
 
2.2%
in 157
 
2.2%
be 152
 
2.1%
equipment 141
 
2.0%
or 129
 
1.8%
Other values (813) 5129
71.5%
2024-02-15T22:50:53.523897image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10841
20.6%
e 4407
 
8.4%
i 3109
 
5.9%
n 3041
 
5.8%
a 3022
 
5.7%
t 2951
 
5.6%
s 2920
 
5.5%
o 2812
 
5.3%
r 2052
 
3.9%
d 1673
 
3.2%
Other values (59) 15813
30.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 36676
69.7%
Space Separator 10841
 
20.6%
Other Punctuation 1621
 
3.1%
Decimal Number 1281
 
2.4%
Uppercase Letter 1224
 
2.3%
Close Punctuation 425
 
0.8%
Open Punctuation 424
 
0.8%
Dash Punctuation 149
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4407
12.0%
i 3109
 
8.5%
n 3041
 
8.3%
a 3022
 
8.2%
t 2951
 
8.0%
s 2920
 
8.0%
o 2812
 
7.7%
r 2052
 
5.6%
d 1673
 
4.6%
l 1651
 
4.5%
Other values (17) 9038
24.6%
Uppercase Letter
ValueCountFrequency (%)
F 160
13.1%
P 143
11.7%
E 134
10.9%
C 107
8.7%
T 92
 
7.5%
A 77
 
6.3%
S 68
 
5.6%
L 66
 
5.4%
R 62
 
5.1%
U 55
 
4.5%
Other values (11) 260
21.2%
Decimal Number
ValueCountFrequency (%)
2 467
36.5%
1 250
19.5%
8 214
16.7%
6 70
 
5.5%
7 64
 
5.0%
5 60
 
4.7%
4 58
 
4.5%
3 57
 
4.4%
0 24
 
1.9%
9 17
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 762
47.0%
. 710
43.8%
: 67
 
4.1%
; 65
 
4.0%
/ 14
 
0.9%
' 2
 
0.1%
# 1
 
0.1%
Space Separator
ValueCountFrequency (%)
10841
100.0%
Close Punctuation
ValueCountFrequency (%)
) 425
100.0%
Open Punctuation
ValueCountFrequency (%)
( 424
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 149
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 37900
72.0%
Common 14741
 
28.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4407
11.6%
i 3109
 
8.2%
n 3041
 
8.0%
a 3022
 
8.0%
t 2951
 
7.8%
s 2920
 
7.7%
o 2812
 
7.4%
r 2052
 
5.4%
d 1673
 
4.4%
l 1651
 
4.4%
Other values (38) 10262
27.1%
Common
ValueCountFrequency (%)
10841
73.5%
, 762
 
5.2%
. 710
 
4.8%
2 467
 
3.2%
) 425
 
2.9%
( 424
 
2.9%
1 250
 
1.7%
8 214
 
1.5%
- 149
 
1.0%
6 70
 
0.5%
Other values (11) 429
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 52613
99.9%
None 28
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10841
20.6%
e 4407
 
8.4%
i 3109
 
5.9%
n 3041
 
5.8%
a 3022
 
5.7%
t 2951
 
5.6%
s 2920
 
5.5%
o 2812
 
5.3%
r 2052
 
3.9%
d 1673
 
3.2%
Other values (58) 15785
30.0%
None
ValueCountFrequency (%)
õ 28
100.0%

Violation Memo - 13
Text

MISSING 

Distinct137
Distinct (%)99.3%
Missing6570
Missing (%)97.9%
Memory size52.5 KiB
2024-02-15T22:50:54.088185image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length196
Median length75
Mean length45.608696
Min length4

Characters and Unicode

Total characters6294
Distinct characters75
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)98.6%

Sample

1st rowClean inside WIC.
2nd rowNo date marking system evident.
3rd rowusing cooking paper as food surfaces in top of pans and under table shelving at the fryers area must be have proper food contact surfaces during operational hours
4th rowrepair pipes under 3 com sink, faucet
5th rowDO NOT STORE DRINKS BY PREP. SINK
ValueCountFrequency (%)
in 33
 
3.1%
food 25
 
2.4%
and 24
 
2.3%
clean 20
 
1.9%
on 17
 
1.6%
observed 16
 
1.5%
all 15
 
1.4%
to 15
 
1.4%
containers 14
 
1.3%
13
 
1.2%
Other values (422) 866
81.9%
2024-02-15T22:50:55.299837image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
953
 
15.1%
e 487
 
7.7%
o 342
 
5.4%
a 335
 
5.3%
n 327
 
5.2%
r 295
 
4.7%
i 294
 
4.7%
s 286
 
4.5%
t 273
 
4.3%
d 185
 
2.9%
Other values (65) 2517
40.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3999
63.5%
Uppercase Letter 1148
 
18.2%
Space Separator 953
 
15.1%
Other Punctuation 113
 
1.8%
Decimal Number 61
 
1.0%
Dash Punctuation 8
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 487
12.2%
o 342
 
8.6%
a 335
 
8.4%
n 327
 
8.2%
r 295
 
7.4%
i 294
 
7.4%
s 286
 
7.2%
t 273
 
6.8%
d 185
 
4.6%
l 172
 
4.3%
Other values (15) 1003
25.1%
Uppercase Letter
ValueCountFrequency (%)
E 123
 
10.7%
O 97
 
8.4%
N 89
 
7.8%
R 85
 
7.4%
S 82
 
7.1%
I 81
 
7.1%
A 79
 
6.9%
L 69
 
6.0%
T 66
 
5.7%
C 62
 
5.4%
Other values (15) 315
27.4%
Decimal Number
ValueCountFrequency (%)
1 10
16.4%
0 10
16.4%
7 8
13.1%
2 7
11.5%
3 6
9.8%
4 5
8.2%
5 5
8.2%
9 4
 
6.6%
8 3
 
4.9%
6 3
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 57
50.4%
, 24
21.2%
* 9
 
8.0%
/ 7
 
6.2%
' 6
 
5.3%
& 4
 
3.5%
@ 3
 
2.7%
" 2
 
1.8%
: 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 5
83.3%
] 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 5
83.3%
[ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
953
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5147
81.8%
Common 1147
 
18.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 487
 
9.5%
o 342
 
6.6%
a 335
 
6.5%
n 327
 
6.4%
r 295
 
5.7%
i 294
 
5.7%
s 286
 
5.6%
t 273
 
5.3%
d 185
 
3.6%
l 172
 
3.3%
Other values (40) 2151
41.8%
Common
ValueCountFrequency (%)
953
83.1%
. 57
 
5.0%
, 24
 
2.1%
1 10
 
0.9%
0 10
 
0.9%
* 9
 
0.8%
- 8
 
0.7%
7 8
 
0.7%
2 7
 
0.6%
/ 7
 
0.6%
Other values (15) 54
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
953
 
15.1%
e 487
 
7.7%
o 342
 
5.4%
a 335
 
5.3%
n 327
 
5.2%
r 295
 
4.7%
i 294
 
4.7%
s 286
 
4.5%
t 273
 
4.3%
d 185
 
2.9%
Other values (65) 2517
40.0%
Distinct67
Distinct (%)64.4%
Missing6604
Missing (%)98.4%
Memory size52.5 KiB
2024-02-15T22:50:55.930195image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length60
Mean length47.980769
Min length12

Characters and Unicode

Total characters4990
Distinct characters68
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)41.3%

Sample

1st row*47 Handwashing signage
2nd row*24 Food Labeling- with common name of the food
3rd row*47 RFSM Certificate - Not Display
4th row*28 Date marking > 24 hrs,on site,temp 41F
5th row*18 Equipment and Utensils Multiuse Materials-safe
ValueCountFrequency (%)
food 38
 
4.9%
or 19
 
2.4%
16
 
2.0%
47 14
 
1.8%
in 14
 
1.8%
and 13
 
1.7%
of 13
 
1.7%
the 11
 
1.4%
not 10
 
1.3%
protected 9
 
1.2%
Other values (280) 624
79.9%
2024-02-15T22:50:56.937187image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
682
13.7%
o 393
 
7.9%
e 390
 
7.8%
n 309
 
6.2%
t 292
 
5.9%
i 292
 
5.9%
a 274
 
5.5%
s 256
 
5.1%
r 220
 
4.4%
d 182
 
3.6%
Other values (58) 1700
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3629
72.7%
Space Separator 682
 
13.7%
Decimal Number 239
 
4.8%
Uppercase Letter 213
 
4.3%
Other Punctuation 186
 
3.7%
Dash Punctuation 27
 
0.5%
Open Punctuation 6
 
0.1%
Close Punctuation 6
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 393
10.8%
e 390
10.7%
n 309
 
8.5%
t 292
 
8.0%
i 292
 
8.0%
a 274
 
7.6%
s 256
 
7.1%
r 220
 
6.1%
d 182
 
5.0%
l 150
 
4.1%
Other values (17) 871
24.0%
Uppercase Letter
ValueCountFrequency (%)
F 38
17.8%
C 30
14.1%
S 20
9.4%
H 18
8.5%
E 13
 
6.1%
T 12
 
5.6%
D 12
 
5.6%
P 12
 
5.6%
N 11
 
5.2%
R 10
 
4.7%
Other values (9) 37
17.4%
Decimal Number
ValueCountFrequency (%)
4 57
23.8%
3 35
14.6%
1 32
13.4%
2 30
12.6%
7 22
 
9.2%
0 19
 
7.9%
5 17
 
7.1%
6 11
 
4.6%
9 10
 
4.2%
8 6
 
2.5%
Other Punctuation
ValueCountFrequency (%)
* 104
55.9%
, 46
24.7%
/ 19
 
10.2%
. 7
 
3.8%
: 5
 
2.7%
' 3
 
1.6%
& 2
 
1.1%
Space Separator
ValueCountFrequency (%)
682
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Math Symbol
ValueCountFrequency (%)
> 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3842
77.0%
Common 1148
 
23.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 393
 
10.2%
e 390
 
10.2%
n 309
 
8.0%
t 292
 
7.6%
i 292
 
7.6%
a 274
 
7.1%
s 256
 
6.7%
r 220
 
5.7%
d 182
 
4.7%
l 150
 
3.9%
Other values (36) 1084
28.2%
Common
ValueCountFrequency (%)
682
59.4%
* 104
 
9.1%
4 57
 
5.0%
, 46
 
4.0%
3 35
 
3.0%
1 32
 
2.8%
2 30
 
2.6%
- 27
 
2.4%
7 22
 
1.9%
0 19
 
1.7%
Other values (12) 94
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4983
99.9%
None 7
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
682
13.7%
o 393
 
7.9%
e 390
 
7.8%
n 309
 
6.2%
t 292
 
5.9%
i 292
 
5.9%
a 274
 
5.5%
s 256
 
5.1%
r 220
 
4.4%
d 182
 
3.7%
Other values (57) 1693
34.0%
None
ValueCountFrequency (%)
ø 7
100.0%

Violation Points - 14
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)2.9%
Missing6604
Missing (%)98.4%
Memory size52.5 KiB
1.0
60 
3.0
23 
2.0
21 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters312
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row2.0
3rd row1.0
4th row2.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 60
 
0.9%
3.0 23
 
0.3%
2.0 21
 
0.3%
(Missing) 6604
98.4%

Length

2024-02-15T22:50:57.452645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:50:57.941653image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 60
57.7%
3.0 23
 
22.1%
2.0 21
 
20.2%

Most occurring characters

ValueCountFrequency (%)
. 104
33.3%
0 104
33.3%
1 60
19.2%
3 23
 
7.4%
2 21
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 208
66.7%
Other Punctuation 104
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 104
50.0%
1 60
28.8%
3 23
 
11.1%
2 21
 
10.1%
Other Punctuation
ValueCountFrequency (%)
. 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 104
33.3%
0 104
33.3%
1 60
19.2%
3 23
 
7.4%
2 21
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 104
33.3%
0 104
33.3%
1 60
19.2%
3 23
 
7.4%
2 21
 
6.7%

Violation Detail - 14
Text

MISSING 

Distinct67
Distinct (%)64.4%
Missing6604
Missing (%)98.4%
Memory size52.5 KiB
2024-02-15T22:50:58.572021image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length815
Median length438.5
Mean length372.39423
Min length186

Characters and Unicode

Total characters38729
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)41.3%

Sample

1st row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
2nd row228.79 Food. Labeling. (a) Food labels. (2) Label information shall include: (A) the common name of the food, or absent a common name, an adequately descriptive identity statement;
3rd rowSec.17-2.2(c) Registered food service managers. (7) Display of certificate of registered food service manager. A food service establishment shall display the original certificate of each primary registered food service manager employed by the establishment. Each certificate must be displayed in a glass-covered frame at a location where it is easily visible to the public.
4th row228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; and
5th row228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (1) safe;
ValueCountFrequency (%)
and 266
 
5.0%
food 232
 
4.3%
of 173
 
3.2%
a 163
 
3.0%
the 160
 
3.0%
in 123
 
2.3%
shall 119
 
2.2%
or 113
 
2.1%
be 104
 
1.9%
equipment 73
 
1.4%
Other values (850) 3838
71.6%
2024-02-15T22:50:59.911488image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7995
20.6%
e 3174
 
8.2%
a 2312
 
6.0%
i 2290
 
5.9%
n 2216
 
5.7%
o 2204
 
5.7%
t 2146
 
5.5%
s 2026
 
5.2%
r 1521
 
3.9%
d 1243
 
3.2%
Other values (59) 11602
30.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27065
69.9%
Space Separator 7995
 
20.6%
Other Punctuation 1100
 
2.8%
Decimal Number 930
 
2.4%
Uppercase Letter 858
 
2.2%
Open Punctuation 336
 
0.9%
Close Punctuation 336
 
0.9%
Dash Punctuation 109
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 3174
11.7%
a 2312
 
8.5%
i 2290
 
8.5%
n 2216
 
8.2%
o 2204
 
8.1%
t 2146
 
7.9%
s 2026
 
7.5%
r 1521
 
5.6%
d 1243
 
4.6%
l 1172
 
4.3%
Other values (17) 6761
25.0%
Uppercase Letter
ValueCountFrequency (%)
F 108
12.6%
P 95
11.1%
E 85
9.9%
C 68
 
7.9%
A 66
 
7.7%
T 62
 
7.2%
S 54
 
6.3%
R 47
 
5.5%
L 36
 
4.2%
U 33
 
3.8%
Other values (12) 204
23.8%
Decimal Number
ValueCountFrequency (%)
2 333
35.8%
1 194
20.9%
8 141
15.2%
7 53
 
5.7%
5 45
 
4.8%
6 44
 
4.7%
3 42
 
4.5%
4 40
 
4.3%
0 27
 
2.9%
9 11
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 494
44.9%
, 478
43.5%
: 60
 
5.5%
; 58
 
5.3%
/ 7
 
0.6%
' 3
 
0.3%
Space Separator
ValueCountFrequency (%)
7995
100.0%
Open Punctuation
ValueCountFrequency (%)
( 336
100.0%
Close Punctuation
ValueCountFrequency (%)
) 336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 27923
72.1%
Common 10806
 
27.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 3174
11.4%
a 2312
 
8.3%
i 2290
 
8.2%
n 2216
 
7.9%
o 2204
 
7.9%
t 2146
 
7.7%
s 2026
 
7.3%
r 1521
 
5.4%
d 1243
 
4.5%
l 1172
 
4.2%
Other values (39) 7619
27.3%
Common
ValueCountFrequency (%)
7995
74.0%
. 494
 
4.6%
, 478
 
4.4%
( 336
 
3.1%
) 336
 
3.1%
2 333
 
3.1%
1 194
 
1.8%
8 141
 
1.3%
- 109
 
1.0%
: 60
 
0.6%
Other values (10) 330
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 38699
99.9%
None 30
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7995
20.7%
e 3174
 
8.2%
a 2312
 
6.0%
i 2290
 
5.9%
n 2216
 
5.7%
o 2204
 
5.7%
t 2146
 
5.5%
s 2026
 
5.2%
r 1521
 
3.9%
d 1243
 
3.2%
Other values (58) 11572
29.9%
None
ValueCountFrequency (%)
õ 30
100.0%

Violation Memo - 14
Text

MISSING 

Distinct85
Distinct (%)97.7%
Missing6621
Missing (%)98.7%
Memory size52.5 KiB
2024-02-15T22:51:00.741863image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length190
Median length76
Mean length56.195402
Min length10

Characters and Unicode

Total characters4889
Distinct characters72
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)95.4%

Sample

1st rowNeed HW signs in restrooms.
2nd rowmissing food labels on food containers in different areas must be have food labels to avoid cross contamination
3rd rowDATE MARK ALL FOOD PRODUCTS WITH USE BY DATE WITH SHELF LIFE OF 7 DAYS OR LESS
4th rowusing thank you bags as food containers must be have approved commercial food containers to avoid chemical contamination
5th rowCooked chicken held at 114.6 degrees Cooked peppers held at 112.4 degrees
ValueCountFrequency (%)
in 30
 
3.7%
food 26
 
3.2%
clean 16
 
2.0%
all 16
 
2.0%
on 15
 
1.9%
observed 14
 
1.7%
of 11
 
1.4%
to 11
 
1.4%
11
 
1.4%
at 11
 
1.4%
Other values (346) 648
80.1%
2024-02-15T22:51:02.214835image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
747
 
15.3%
e 340
 
7.0%
o 263
 
5.4%
n 238
 
4.9%
i 224
 
4.6%
a 222
 
4.5%
s 214
 
4.4%
r 202
 
4.1%
t 202
 
4.1%
l 129
 
2.6%
Other values (62) 2108
43.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2878
58.9%
Uppercase Letter 1125
 
23.0%
Space Separator 747
 
15.3%
Other Punctuation 87
 
1.8%
Decimal Number 35
 
0.7%
Close Punctuation 7
 
0.1%
Open Punctuation 5
 
0.1%
Dash Punctuation 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 340
11.8%
o 263
 
9.1%
n 238
 
8.3%
i 224
 
7.8%
a 222
 
7.7%
s 214
 
7.4%
r 202
 
7.0%
t 202
 
7.0%
l 129
 
4.5%
d 126
 
4.4%
Other values (16) 718
24.9%
Uppercase Letter
ValueCountFrequency (%)
E 126
11.2%
O 113
 
10.0%
R 94
 
8.4%
S 81
 
7.2%
T 75
 
6.7%
A 74
 
6.6%
L 70
 
6.2%
N 64
 
5.7%
I 63
 
5.6%
P 57
 
5.1%
Other values (14) 308
27.4%
Decimal Number
ValueCountFrequency (%)
4 6
17.1%
0 6
17.1%
7 6
17.1%
1 6
17.1%
2 5
14.3%
6 2
 
5.7%
5 2
 
5.7%
9 1
 
2.9%
3 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 36
41.4%
, 27
31.0%
* 9
 
10.3%
& 5
 
5.7%
" 4
 
4.6%
' 3
 
3.4%
: 2
 
2.3%
/ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
747
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4003
81.9%
Common 886
 
18.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 340
 
8.5%
o 263
 
6.6%
n 238
 
5.9%
i 224
 
5.6%
a 222
 
5.5%
s 214
 
5.3%
r 202
 
5.0%
t 202
 
5.0%
l 129
 
3.2%
E 126
 
3.1%
Other values (40) 1843
46.0%
Common
ValueCountFrequency (%)
747
84.3%
. 36
 
4.1%
, 27
 
3.0%
* 9
 
1.0%
) 7
 
0.8%
4 6
 
0.7%
0 6
 
0.7%
7 6
 
0.7%
1 6
 
0.7%
( 5
 
0.6%
Other values (12) 31
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4889
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
747
 
15.3%
e 340
 
7.0%
o 263
 
5.4%
n 238
 
4.9%
i 224
 
4.6%
a 222
 
4.5%
s 214
 
4.4%
r 202
 
4.1%
t 202
 
4.1%
l 129
 
2.6%
Other values (62) 2108
43.1%
Distinct48
Distinct (%)69.6%
Missing6639
Missing (%)99.0%
Memory size52.5 KiB
2024-02-15T22:51:02.721833image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length55
Mean length43.927536
Min length13

Characters and Unicode

Total characters3031
Distinct characters67
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)50.7%

Sample

1st row*31 No soap at handsink
2nd row*09 Food protected cross contamination arrange each type food in equipment so cross is prevented
3rd row*21 Demonstrateion of knowledge by PIC
4th row*02 Cold Hold (41øF/45øF or below)
5th row*10 Clean Sight and Touch
ValueCountFrequency (%)
food 23
 
4.8%
in 14
 
2.9%
or 10
 
2.1%
47 9
 
1.9%
cross 9
 
1.9%
45 9
 
1.9%
equipment 7
 
1.5%
7
 
1.5%
and 6
 
1.3%
contamination 6
 
1.3%
Other values (206) 375
78.9%
2024-02-15T22:51:03.469141image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
416
13.7%
o 236
 
7.8%
e 226
 
7.5%
n 186
 
6.1%
i 180
 
5.9%
a 171
 
5.6%
t 170
 
5.6%
r 153
 
5.0%
s 150
 
4.9%
d 108
 
3.6%
Other values (57) 1035
34.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2157
71.2%
Space Separator 416
 
13.7%
Decimal Number 172
 
5.7%
Uppercase Letter 152
 
5.0%
Other Punctuation 106
 
3.5%
Dash Punctuation 19
 
0.6%
Open Punctuation 4
 
0.1%
Close Punctuation 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 236
10.9%
e 226
10.5%
n 186
 
8.6%
i 180
 
8.3%
a 171
 
7.9%
t 170
 
7.9%
r 153
 
7.1%
s 150
 
7.0%
d 108
 
5.0%
l 79
 
3.7%
Other values (15) 498
23.1%
Uppercase Letter
ValueCountFrequency (%)
F 29
19.1%
C 15
9.9%
T 13
 
8.6%
O 11
 
7.2%
P 11
 
7.2%
S 10
 
6.6%
H 9
 
5.9%
E 8
 
5.3%
M 7
 
4.6%
R 6
 
3.9%
Other values (10) 33
21.7%
Decimal Number
ValueCountFrequency (%)
4 43
25.0%
1 25
14.5%
3 21
12.2%
5 19
11.0%
0 18
10.5%
2 17
 
9.9%
7 11
 
6.4%
9 9
 
5.2%
6 5
 
2.9%
8 4
 
2.3%
Other Punctuation
ValueCountFrequency (%)
* 69
65.1%
, 21
 
19.8%
. 5
 
4.7%
/ 4
 
3.8%
& 3
 
2.8%
: 3
 
2.8%
' 1
 
0.9%
Space Separator
ValueCountFrequency (%)
416
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Math Symbol
ValueCountFrequency (%)
< 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2309
76.2%
Common 722
 
23.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 236
 
10.2%
e 226
 
9.8%
n 186
 
8.1%
i 180
 
7.8%
a 171
 
7.4%
t 170
 
7.4%
r 153
 
6.6%
s 150
 
6.5%
d 108
 
4.7%
l 79
 
3.4%
Other values (35) 650
28.2%
Common
ValueCountFrequency (%)
416
57.6%
* 69
 
9.6%
4 43
 
6.0%
1 25
 
3.5%
3 21
 
2.9%
, 21
 
2.9%
5 19
 
2.6%
- 19
 
2.6%
0 18
 
2.5%
2 17
 
2.4%
Other values (12) 54
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3020
99.6%
None 11
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
416
13.8%
o 236
 
7.8%
e 226
 
7.5%
n 186
 
6.2%
i 180
 
6.0%
a 171
 
5.7%
t 170
 
5.6%
r 153
 
5.1%
s 150
 
5.0%
d 108
 
3.6%
Other values (56) 1024
33.9%
None
ValueCountFrequency (%)
ø 11
100.0%

Violation Points - 15
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)4.3%
Missing6639
Missing (%)99.0%
Memory size52.5 KiB
1.0
37 
3.0
21 
2.0
11 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters207
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row3.0
3rd row2.0
4th row3.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 37
 
0.6%
3.0 21
 
0.3%
2.0 11
 
0.2%
(Missing) 6639
99.0%

Length

2024-02-15T22:51:03.759545image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:04.015895image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 37
53.6%
3.0 21
30.4%
2.0 11
 
15.9%

Most occurring characters

ValueCountFrequency (%)
. 69
33.3%
0 69
33.3%
1 37
17.9%
3 21
 
10.1%
2 11
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 138
66.7%
Other Punctuation 69
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
50.0%
1 37
26.8%
3 21
 
15.2%
2 11
 
8.0%
Other Punctuation
ValueCountFrequency (%)
. 69
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 207
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 69
33.3%
0 69
33.3%
1 37
17.9%
3 21
 
10.1%
2 11
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 207
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 69
33.3%
0 69
33.3%
1 37
17.9%
3 21
 
10.1%
2 11
 
5.3%

Violation Detail - 15
Text

MISSING 

Distinct47
Distinct (%)71.2%
Missing6642
Missing (%)99.0%
Memory size52.5 KiB
2024-02-15T22:51:04.466329image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length800
Median length445
Mean length380.07576
Min length125

Characters and Unicode

Total characters25085
Distinct characters68
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)53.0%

Sample

1st row228.175 Physical Facilities. Handwashing Sinks. (b) Handwashing cleanser, availability. Each handwashing lavatory or group of two adjacent lavatories shall be provided with a supply of hand cleaning liquid, powder, or bar soap.
2nd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; and
3rd row(b) Demonstration of knowledge by person in charge of a food establishment. Based on the risks of foodborne illness inherent to the food operation, the person in charge shall, during inspections and upon request, demonstrate to the director knowledge of foodborne disease prevention, application of the Hazard Analysis Critical Control Point principles, and the requirements of this chapter. The person in charge shall demonstrate this knowledge by compliance with this chapter, by being a registered food protection manager who has shown proficiency of required information through passing a test that is part of an accredited program and by responding correctly to the inspector's questions as they relate to the specific food operation. The person in charge may demonstrate such knowledge by
4th row228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
ValueCountFrequency (%)
and 169
 
4.9%
food 137
 
3.9%
of 118
 
3.4%
a 97
 
2.8%
the 91
 
2.6%
or 77
 
2.2%
in 76
 
2.2%
shall 71
 
2.0%
be 62
 
1.8%
as 57
 
1.6%
Other values (700) 2514
72.5%
2024-02-15T22:51:05.340129image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5237
20.9%
e 2072
 
8.3%
a 1478
 
5.9%
i 1450
 
5.8%
o 1400
 
5.6%
t 1384
 
5.5%
s 1382
 
5.5%
n 1324
 
5.3%
r 1065
 
4.2%
d 804
 
3.2%
Other values (58) 7489
29.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 17482
69.7%
Space Separator 5237
 
20.9%
Other Punctuation 750
 
3.0%
Decimal Number 574
 
2.3%
Uppercase Letter 516
 
2.1%
Close Punctuation 229
 
0.9%
Open Punctuation 227
 
0.9%
Dash Punctuation 70
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 2072
11.9%
a 1478
 
8.5%
i 1450
 
8.3%
o 1400
 
8.0%
t 1384
 
7.9%
s 1382
 
7.9%
n 1324
 
7.6%
r 1065
 
6.1%
d 804
 
4.6%
l 743
 
4.3%
Other values (17) 4380
25.1%
Uppercase Letter
ValueCountFrequency (%)
F 74
14.3%
P 63
12.2%
C 50
9.7%
E 47
9.1%
T 45
8.7%
A 39
 
7.6%
S 34
 
6.6%
R 29
 
5.6%
U 18
 
3.5%
D 17
 
3.3%
Other values (10) 100
19.4%
Decimal Number
ValueCountFrequency (%)
2 193
33.6%
1 111
19.3%
8 84
14.6%
5 42
 
7.3%
7 38
 
6.6%
6 37
 
6.4%
4 27
 
4.7%
3 22
 
3.8%
0 15
 
2.6%
9 5
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 355
47.3%
. 315
42.0%
: 38
 
5.1%
; 32
 
4.3%
/ 7
 
0.9%
# 2
 
0.3%
' 1
 
0.1%
Space Separator
ValueCountFrequency (%)
5237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 229
100.0%
Open Punctuation
ValueCountFrequency (%)
( 227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 17998
71.7%
Common 7087
 
28.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 2072
11.5%
a 1478
 
8.2%
i 1450
 
8.1%
o 1400
 
7.8%
t 1384
 
7.7%
s 1382
 
7.7%
n 1324
 
7.4%
r 1065
 
5.9%
d 804
 
4.5%
l 743
 
4.1%
Other values (37) 4896
27.2%
Common
ValueCountFrequency (%)
5237
73.9%
, 355
 
5.0%
. 315
 
4.4%
) 229
 
3.2%
( 227
 
3.2%
2 193
 
2.7%
1 111
 
1.6%
8 84
 
1.2%
- 70
 
1.0%
5 42
 
0.6%
Other values (11) 224
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25072
99.9%
None 13
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5237
20.9%
e 2072
 
8.3%
a 1478
 
5.9%
i 1450
 
5.8%
o 1400
 
5.6%
t 1384
 
5.5%
s 1382
 
5.5%
n 1324
 
5.3%
r 1065
 
4.2%
d 804
 
3.2%
Other values (57) 7476
29.8%
None
ValueCountFrequency (%)
õ 13
100.0%

Violation Memo - 15
Text

MISSING 

Distinct58
Distinct (%)98.3%
Missing6649
Missing (%)99.1%
Memory size52.5 KiB
2024-02-15T22:51:05.833088image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length818
Median length64
Mean length66.084746
Min length5

Characters and Unicode

Total characters3899
Distinct characters73
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)96.6%

Sample

1st rowPIC must be ensure to separated raw food from cooked food inside cooler units
2nd rowmilk 46 F eggs 47 ham 46 F
3rd rowProvide hand wash sign at all hand wash sinks.
4th rowDo not use bowl to scoop food. Use scoop with handle.
5th rowdoor needs to be closed at all times
ValueCountFrequency (%)
to 19
 
3.0%
in 18
 
2.8%
and 14
 
2.2%
food 12
 
1.9%
provide 12
 
1.9%
at 11
 
1.7%
repair 9
 
1.4%
all 9
 
1.4%
hand 8
 
1.3%
be 8
 
1.3%
Other values (343) 518
81.2%
2024-02-15T22:51:06.656105image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
676
17.3%
e 255
 
6.5%
o 230
 
5.9%
a 208
 
5.3%
i 200
 
5.1%
n 198
 
5.1%
r 176
 
4.5%
t 169
 
4.3%
s 164
 
4.2%
l 112
 
2.9%
Other values (63) 1511
38.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2444
62.7%
Space Separator 676
 
17.3%
Uppercase Letter 604
 
15.5%
Other Punctuation 82
 
2.1%
Decimal Number 62
 
1.6%
Close Punctuation 15
 
0.4%
Open Punctuation 11
 
0.3%
Dash Punctuation 3
 
0.1%
Initial Punctuation 1
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 255
10.4%
o 230
 
9.4%
a 208
 
8.5%
i 200
 
8.2%
n 198
 
8.1%
r 176
 
7.2%
t 169
 
6.9%
s 164
 
6.7%
l 112
 
4.6%
d 107
 
4.4%
Other values (15) 625
25.6%
Uppercase Letter
ValueCountFrequency (%)
E 58
 
9.6%
O 56
 
9.3%
R 55
 
9.1%
T 51
 
8.4%
A 50
 
8.3%
N 38
 
6.3%
S 37
 
6.1%
I 37
 
6.1%
D 32
 
5.3%
P 32
 
5.3%
Other values (15) 158
26.2%
Decimal Number
ValueCountFrequency (%)
1 14
22.6%
4 11
17.7%
3 9
14.5%
2 7
11.3%
6 7
11.3%
7 6
9.7%
5 4
 
6.5%
0 3
 
4.8%
9 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 33
40.2%
, 17
20.7%
* 14
17.1%
; 6
 
7.3%
& 4
 
4.9%
' 4
 
4.9%
: 3
 
3.7%
/ 1
 
1.2%
Space Separator
ValueCountFrequency (%)
676
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Initial Punctuation
ValueCountFrequency (%)
1
100.0%
Final Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3048
78.2%
Common 851
 
21.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 255
 
8.4%
o 230
 
7.5%
a 208
 
6.8%
i 200
 
6.6%
n 198
 
6.5%
r 176
 
5.8%
t 169
 
5.5%
s 164
 
5.4%
l 112
 
3.7%
d 107
 
3.5%
Other values (40) 1229
40.3%
Common
ValueCountFrequency (%)
676
79.4%
. 33
 
3.9%
, 17
 
2.0%
) 15
 
1.8%
1 14
 
1.6%
* 14
 
1.6%
4 11
 
1.3%
( 11
 
1.3%
3 9
 
1.1%
2 7
 
0.8%
Other values (13) 44
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3897
99.9%
Punctuation 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
676
17.3%
e 255
 
6.5%
o 230
 
5.9%
a 208
 
5.3%
i 200
 
5.1%
n 198
 
5.1%
r 176
 
4.5%
t 169
 
4.3%
s 164
 
4.2%
l 112
 
2.9%
Other values (61) 1509
38.7%
Punctuation
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct34
Distinct (%)77.3%
Missing6664
Missing (%)99.3%
Memory size52.5 KiB
2024-02-15T22:51:07.061804image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length100
Median length50.5
Mean length45.545455
Min length20

Characters and Unicode

Total characters2004
Distinct characters66
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)56.8%

Sample

1st row*42 Nonfood-contact surfaces material
2nd row*47 Handwashing signage
3rd row*09 Raw ready to eat - Food protected from cross contamination by separating, storage, preparation,
4th row*40 Reuse of single service articles
5th row*42 Dirty nonfood contact surfaces
ValueCountFrequency (%)
food 14
 
4.5%
to 8
 
2.6%
or 7
 
2.2%
6
 
1.9%
42 6
 
1.9%
dirty 5
 
1.6%
for 5
 
1.6%
and 5
 
1.6%
contact 4
 
1.3%
47 4
 
1.3%
Other values (167) 248
79.5%
2024-02-15T22:51:07.770689image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
268
13.4%
o 178
 
8.9%
e 159
 
7.9%
t 128
 
6.4%
n 121
 
6.0%
a 109
 
5.4%
r 107
 
5.3%
s 106
 
5.3%
i 98
 
4.9%
d 72
 
3.6%
Other values (56) 658
32.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1466
73.2%
Space Separator 268
 
13.4%
Decimal Number 92
 
4.6%
Uppercase Letter 85
 
4.2%
Other Punctuation 82
 
4.1%
Dash Punctuation 9
 
0.4%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 178
12.1%
e 159
10.8%
t 128
 
8.7%
n 121
 
8.3%
a 109
 
7.4%
r 107
 
7.3%
s 106
 
7.2%
i 98
 
6.7%
d 72
 
4.9%
c 62
 
4.2%
Other values (16) 326
22.2%
Uppercase Letter
ValueCountFrequency (%)
F 15
17.6%
C 10
11.8%
T 10
11.8%
S 8
9.4%
R 5
 
5.9%
E 5
 
5.9%
H 4
 
4.7%
N 4
 
4.7%
O 4
 
4.7%
D 3
 
3.5%
Other values (9) 17
20.0%
Decimal Number
ValueCountFrequency (%)
4 24
26.1%
2 12
13.0%
3 12
13.0%
1 12
13.0%
0 10
10.9%
7 8
 
8.7%
5 5
 
5.4%
9 4
 
4.3%
6 3
 
3.3%
8 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
* 44
53.7%
, 20
24.4%
/ 12
 
14.6%
' 2
 
2.4%
. 2
 
2.4%
: 1
 
1.2%
& 1
 
1.2%
Space Separator
ValueCountFrequency (%)
268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1551
77.4%
Common 453
 
22.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 178
11.5%
e 159
 
10.3%
t 128
 
8.3%
n 121
 
7.8%
a 109
 
7.0%
r 107
 
6.9%
s 106
 
6.8%
i 98
 
6.3%
d 72
 
4.6%
c 62
 
4.0%
Other values (35) 411
26.5%
Common
ValueCountFrequency (%)
268
59.2%
* 44
 
9.7%
4 24
 
5.3%
, 20
 
4.4%
2 12
 
2.6%
/ 12
 
2.6%
3 12
 
2.6%
1 12
 
2.6%
0 10
 
2.2%
- 9
 
2.0%
Other values (11) 30
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2002
99.9%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
268
13.4%
o 178
 
8.9%
e 159
 
7.9%
t 128
 
6.4%
n 121
 
6.0%
a 109
 
5.4%
r 107
 
5.3%
s 106
 
5.3%
i 98
 
4.9%
d 72
 
3.6%
Other values (55) 656
32.8%
None
ValueCountFrequency (%)
ø 2
100.0%

Violation Points - 16
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)6.8%
Missing6664
Missing (%)99.3%
Memory size52.5 KiB
1.0
28 
3.0
11 
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters132
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 28
 
0.4%
3.0 11
 
0.2%
2.0 5
 
0.1%
(Missing) 6664
99.3%

Length

2024-02-15T22:51:08.063565image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:08.333974image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 28
63.6%
3.0 11
 
25.0%
2.0 5
 
11.4%

Most occurring characters

ValueCountFrequency (%)
. 44
33.3%
0 44
33.3%
1 28
21.2%
3 11
 
8.3%
2 5
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 88
66.7%
Other Punctuation 44
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 44
50.0%
1 28
31.8%
3 11
 
12.5%
2 5
 
5.7%
Other Punctuation
ValueCountFrequency (%)
. 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 44
33.3%
0 44
33.3%
1 28
21.2%
3 11
 
8.3%
2 5
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 44
33.3%
0 44
33.3%
1 28
21.2%
3 11
 
8.3%
2 5
 
3.8%

Violation Detail - 16
Text

MISSING 

Distinct33
Distinct (%)78.6%
Missing6666
Missing (%)99.4%
Memory size52.5 KiB
2024-02-15T22:51:08.799252image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length547
Median length343
Mean length325.42857
Min length184

Characters and Unicode

Total characters13668
Distinct characters69
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)59.5%

Sample

1st row228.101 Equipment, Utensils, and Linens. Multiuse materials. (i) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment that are exposed to splash, spillage, or other food soiling or that require frequent cleaning shall be constructed of a corrosion-resistant, nonabsorbent, and smooth material.
2nd row228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.
3rd row228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (A) except as specified in subparagraph (A)(iii) of this paragraph,separating raw animal foods during storage, preparation, holding, and display from: (i) raw ready-to-eat food including other raw animal food such as fish for sushi or molluscan shellfish, or other raw ready-to-eat food such as vegetables; and
4th row228.112 Equipment, Utensils, and Linens. Utensils and Temperature and Pressure Measuring Devices. (c) Single-service and single-use articles use limitation. (1) Single-service and single-use articles may not be reused.
5th row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
ValueCountFrequency (%)
and 107
 
5.8%
food 78
 
4.2%
of 66
 
3.6%
the 49
 
2.7%
a 48
 
2.6%
shall 45
 
2.4%
be 38
 
2.1%
equipment 34
 
1.8%
or 34
 
1.8%
in 28
 
1.5%
Other values (450) 1321
71.5%
2024-02-15T22:51:09.654596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2783
20.4%
e 1130
 
8.3%
a 831
 
6.1%
n 795
 
5.8%
o 786
 
5.8%
s 754
 
5.5%
i 747
 
5.5%
t 731
 
5.3%
r 545
 
4.0%
d 443
 
3.2%
Other values (59) 4123
30.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9542
69.8%
Space Separator 2783
 
20.4%
Other Punctuation 404
 
3.0%
Uppercase Letter 342
 
2.5%
Decimal Number 321
 
2.3%
Close Punctuation 113
 
0.8%
Open Punctuation 111
 
0.8%
Dash Punctuation 52
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1130
11.8%
a 831
 
8.7%
n 795
 
8.3%
o 786
 
8.2%
s 754
 
7.9%
i 747
 
7.8%
t 731
 
7.7%
r 545
 
5.7%
d 443
 
4.6%
l 420
 
4.4%
Other values (17) 2360
24.7%
Uppercase Letter
ValueCountFrequency (%)
E 39
11.4%
P 38
11.1%
F 37
10.8%
A 26
 
7.6%
R 24
 
7.0%
C 23
 
6.7%
S 20
 
5.8%
T 17
 
5.0%
U 16
 
4.7%
L 16
 
4.7%
Other values (12) 86
25.1%
Decimal Number
ValueCountFrequency (%)
2 120
37.4%
1 74
23.1%
8 47
 
14.6%
6 19
 
5.9%
3 15
 
4.7%
7 15
 
4.7%
5 14
 
4.4%
4 7
 
2.2%
0 6
 
1.9%
9 4
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 204
50.5%
, 170
42.1%
; 14
 
3.5%
: 13
 
3.2%
# 2
 
0.5%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
2783
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9884
72.3%
Common 3784
 
27.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1130
11.4%
a 831
 
8.4%
n 795
 
8.0%
o 786
 
8.0%
s 754
 
7.6%
i 747
 
7.6%
t 731
 
7.4%
r 545
 
5.5%
d 443
 
4.5%
l 420
 
4.2%
Other values (39) 2702
27.3%
Common
ValueCountFrequency (%)
2783
73.5%
. 204
 
5.4%
, 170
 
4.5%
2 120
 
3.2%
) 113
 
3.0%
( 111
 
2.9%
1 74
 
2.0%
- 52
 
1.4%
8 47
 
1.2%
6 19
 
0.5%
Other values (10) 91
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13662
> 99.9%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2783
20.4%
e 1130
 
8.3%
a 831
 
6.1%
n 795
 
5.8%
o 786
 
5.8%
s 754
 
5.5%
i 747
 
5.5%
t 731
 
5.4%
r 545
 
4.0%
d 443
 
3.2%
Other values (58) 4117
30.1%
None
ValueCountFrequency (%)
õ 6
100.0%

Violation Memo - 16
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing6672
Missing (%)99.5%
Memory size52.5 KiB
2024-02-15T22:51:10.144066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length114
Median length54
Mean length46.472222
Min length8

Characters and Unicode

Total characters1673
Distinct characters62
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st rowFoil lined surfaces
2nd rowprovide hand washing signs
3rd rowObserved raw prawns stored over cut peppers and onions. Raw chicken and pork over onions, Raw egg over vegetables.
4th rowDo not re-use single-use containers (Foil pans and butter container).
5th rowclean gaskets around cooler doors
ValueCountFrequency (%)
and 9
 
3.3%
in 8
 
2.9%
hand 8
 
2.9%
all 7
 
2.5%
of 6
 
2.2%
clean 6
 
2.2%
provide 6
 
2.2%
sink 5
 
1.8%
raw 4
 
1.5%
over 4
 
1.5%
Other values (155) 212
77.1%
2024-02-15T22:51:10.893734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
 
14.6%
e 127
 
7.6%
o 96
 
5.7%
a 95
 
5.7%
s 93
 
5.6%
n 88
 
5.3%
r 84
 
5.0%
i 83
 
5.0%
t 71
 
4.2%
d 52
 
3.1%
Other values (52) 639
38.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1105
66.0%
Uppercase Letter 267
 
16.0%
Space Separator 245
 
14.6%
Other Punctuation 39
 
2.3%
Decimal Number 10
 
0.6%
Dash Punctuation 3
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 127
11.5%
o 96
 
8.7%
a 95
 
8.6%
s 93
 
8.4%
n 88
 
8.0%
r 84
 
7.6%
i 83
 
7.5%
t 71
 
6.4%
d 52
 
4.7%
l 42
 
3.8%
Other values (14) 274
24.8%
Uppercase Letter
ValueCountFrequency (%)
A 28
10.5%
E 25
 
9.4%
T 23
 
8.6%
R 20
 
7.5%
S 19
 
7.1%
N 19
 
7.1%
C 19
 
7.1%
I 18
 
6.7%
O 17
 
6.4%
L 15
 
5.6%
Other values (12) 64
24.0%
Other Punctuation
ValueCountFrequency (%)
. 21
53.8%
, 7
 
17.9%
* 6
 
15.4%
/ 3
 
7.7%
& 1
 
2.6%
' 1
 
2.6%
Decimal Number
ValueCountFrequency (%)
6 4
40.0%
1 2
20.0%
7 1
 
10.0%
5 1
 
10.0%
2 1
 
10.0%
3 1
 
10.0%
Space Separator
ValueCountFrequency (%)
245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1372
82.0%
Common 301
 
18.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 127
 
9.3%
o 96
 
7.0%
a 95
 
6.9%
s 93
 
6.8%
n 88
 
6.4%
r 84
 
6.1%
i 83
 
6.0%
t 71
 
5.2%
d 52
 
3.8%
l 42
 
3.1%
Other values (36) 541
39.4%
Common
ValueCountFrequency (%)
245
81.4%
. 21
 
7.0%
, 7
 
2.3%
* 6
 
2.0%
6 4
 
1.3%
/ 3
 
1.0%
- 3
 
1.0%
1 2
 
0.7%
( 2
 
0.7%
) 2
 
0.7%
Other values (6) 6
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
 
14.6%
e 127
 
7.6%
o 96
 
5.7%
a 95
 
5.7%
s 93
 
5.6%
n 88
 
5.3%
r 84
 
5.0%
i 83
 
5.0%
t 71
 
4.2%
d 52
 
3.1%
Other values (52) 639
38.2%
Distinct20
Distinct (%)95.2%
Missing6687
Missing (%)99.7%
Memory size52.5 KiB
2024-02-15T22:51:11.385624image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length99
Median length50
Mean length47.190476
Min length20

Characters and Unicode

Total characters991
Distinct characters58
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)90.5%

Sample

1st row*37 Storing the food at least 15 cm (6 inches) above the floor
2nd row*41 Food storage containers, identified with common name of food.
3rd row*21 RFSM - Not On Site
4th row*31 Hand sinks: number installed for convenient use
5th row*45 Premises shall be maintained in good repair
ValueCountFrequency (%)
food 6
 
3.7%
5
 
3.1%
in 4
 
2.5%
light 3
 
1.8%
the 3
 
1.8%
good 3
 
1.8%
not 3
 
1.8%
storing 2
 
1.2%
or 2
 
1.2%
use 2
 
1.2%
Other values (110) 130
79.8%
2024-02-15T22:51:12.204353image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
14.7%
e 80
 
8.1%
o 77
 
7.8%
n 71
 
7.2%
i 60
 
6.1%
t 54
 
5.4%
a 52
 
5.2%
d 44
 
4.4%
s 44
 
4.4%
r 41
 
4.1%
Other values (48) 322
32.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 720
72.7%
Space Separator 146
 
14.7%
Decimal Number 45
 
4.5%
Other Punctuation 38
 
3.8%
Uppercase Letter 36
 
3.6%
Dash Punctuation 4
 
0.4%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 80
11.1%
o 77
10.7%
n 71
9.9%
i 60
 
8.3%
t 54
 
7.5%
a 52
 
7.2%
d 44
 
6.1%
s 44
 
6.1%
r 41
 
5.7%
l 36
 
5.0%
Other values (14) 161
22.4%
Uppercase Letter
ValueCountFrequency (%)
S 6
16.7%
F 6
16.7%
H 3
8.3%
W 3
8.3%
C 3
8.3%
O 3
8.3%
N 2
 
5.6%
P 2
 
5.6%
R 2
 
5.6%
M 2
 
5.6%
Other values (4) 4
11.1%
Decimal Number
ValueCountFrequency (%)
4 9
20.0%
1 8
17.8%
2 7
15.6%
3 7
15.6%
7 5
11.1%
9 3
 
6.7%
5 3
 
6.7%
6 1
 
2.2%
8 1
 
2.2%
0 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
* 21
55.3%
, 7
 
18.4%
/ 4
 
10.5%
. 3
 
7.9%
& 2
 
5.3%
: 1
 
2.6%
Space Separator
ValueCountFrequency (%)
146
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 756
76.3%
Common 235
 
23.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 80
10.6%
o 77
 
10.2%
n 71
 
9.4%
i 60
 
7.9%
t 54
 
7.1%
a 52
 
6.9%
d 44
 
5.8%
s 44
 
5.8%
r 41
 
5.4%
l 36
 
4.8%
Other values (28) 197
26.1%
Common
ValueCountFrequency (%)
146
62.1%
* 21
 
8.9%
4 9
 
3.8%
1 8
 
3.4%
2 7
 
3.0%
, 7
 
3.0%
3 7
 
3.0%
7 5
 
2.1%
/ 4
 
1.7%
- 4
 
1.7%
Other values (10) 17
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
14.7%
e 80
 
8.1%
o 77
 
7.8%
n 71
 
7.2%
i 60
 
6.1%
t 54
 
5.4%
a 52
 
5.2%
d 44
 
4.4%
s 44
 
4.4%
r 41
 
4.1%
Other values (48) 322
32.5%

Violation Points - 17
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)14.3%
Missing6687
Missing (%)99.7%
Memory size52.5 KiB
1.0
11 
2.0
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters63
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row2.0
4th row2.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 11
 
0.2%
2.0 7
 
0.1%
3.0 3
 
< 0.1%
(Missing) 6687
99.7%

Length

2024-02-15T22:51:12.594764image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:13.013936image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 11
52.4%
2.0 7
33.3%
3.0 3
 
14.3%

Most occurring characters

ValueCountFrequency (%)
. 21
33.3%
0 21
33.3%
1 11
17.5%
2 7
 
11.1%
3 3
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42
66.7%
Other Punctuation 21
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 21
50.0%
1 11
26.2%
2 7
 
16.7%
3 3
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 63
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 21
33.3%
0 21
33.3%
1 11
17.5%
2 7
 
11.1%
3 3
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 63
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 21
33.3%
0 21
33.3%
1 11
17.5%
2 7
 
11.1%
3 3
 
4.8%

Violation Detail - 17
Text

MISSING 

Distinct19
Distinct (%)95.0%
Missing6688
Missing (%)99.7%
Memory size52.5 KiB
2024-02-15T22:51:13.608031image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length591
Median length377.5
Mean length367.3
Min length184

Characters and Unicode

Total characters7346
Distinct characters65
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)90.0%

Sample

1st row228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.
2nd row228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.
3rd rowSec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.
4th row228.147 Water, Plumbing, and Waste. Plumbing, numbers and capacities. (a) Handwashing facilities. (1) Except as specified in paragraphs (2) and (3) of this subsection, at least one handwashing lavatory, a number of handwashing lavatories necessary for their convenient use by employees in areas specified in õ228.148 of this title, and not fewer than the number of handwashing lavatories required by the Plumbing Code shall be provided.
5th row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
ValueCountFrequency (%)
food 54
 
5.3%
and 51
 
5.0%
of 31
 
3.0%
the 29
 
2.8%
in 29
 
2.8%
a 27
 
2.6%
be 22
 
2.2%
shall 21
 
2.1%
or 19
 
1.9%
as 13
 
1.3%
Other values (317) 723
71.0%
2024-02-15T22:51:14.762004image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1493
20.3%
e 626
 
8.5%
a 455
 
6.2%
i 435
 
5.9%
n 417
 
5.7%
s 391
 
5.3%
o 388
 
5.3%
t 375
 
5.1%
r 296
 
4.0%
d 265
 
3.6%
Other values (55) 2205
30.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5179
70.5%
Space Separator 1493
 
20.3%
Other Punctuation 202
 
2.7%
Decimal Number 164
 
2.2%
Uppercase Letter 147
 
2.0%
Close Punctuation 70
 
1.0%
Open Punctuation 70
 
1.0%
Dash Punctuation 21
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 626
12.1%
a 455
 
8.8%
i 435
 
8.4%
n 417
 
8.1%
s 391
 
7.5%
o 388
 
7.5%
t 375
 
7.2%
r 296
 
5.7%
d 265
 
5.1%
l 226
 
4.4%
Other values (16) 1305
25.2%
Uppercase Letter
ValueCountFrequency (%)
P 20
13.6%
F 19
12.9%
E 13
8.8%
S 12
 
8.2%
C 11
 
7.5%
A 10
 
6.8%
T 9
 
6.1%
W 8
 
5.4%
R 8
 
5.4%
D 7
 
4.8%
Other values (9) 30
20.4%
Decimal Number
ValueCountFrequency (%)
2 59
36.0%
1 34
20.7%
8 27
16.5%
6 11
 
6.7%
7 11
 
6.7%
4 9
 
5.5%
3 5
 
3.0%
5 4
 
2.4%
9 3
 
1.8%
0 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 99
49.0%
, 86
42.6%
: 8
 
4.0%
; 7
 
3.5%
/ 1
 
0.5%
' 1
 
0.5%
Space Separator
ValueCountFrequency (%)
1493
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 5326
72.5%
Common 2020
 
27.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 626
11.8%
a 455
 
8.5%
i 435
 
8.2%
n 417
 
7.8%
s 391
 
7.3%
o 388
 
7.3%
t 375
 
7.0%
r 296
 
5.6%
d 265
 
5.0%
l 226
 
4.2%
Other values (35) 1452
27.3%
Common
ValueCountFrequency (%)
1493
73.9%
. 99
 
4.9%
, 86
 
4.3%
) 70
 
3.5%
( 70
 
3.5%
2 59
 
2.9%
1 34
 
1.7%
8 27
 
1.3%
- 21
 
1.0%
6 11
 
0.5%
Other values (10) 50
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7343
> 99.9%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1493
20.3%
e 626
 
8.5%
a 455
 
6.2%
i 435
 
5.9%
n 417
 
5.7%
s 391
 
5.3%
o 388
 
5.3%
t 375
 
5.1%
r 296
 
4.0%
d 265
 
3.6%
Other values (54) 2202
30.0%
None
ValueCountFrequency (%)
õ 3
100.0%

Violation Memo - 17
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing6689
Missing (%)99.7%
Memory size52.5 KiB
2024-02-15T22:51:15.478966image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length122
Median length41
Mean length45.263158
Min length13

Characters and Unicode

Total characters860
Distinct characters59
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st rowLabel food with common name.
2nd rowNo RFSM on duty during inspection (expired 1/22/19)
3rd rowno faucet for handwash Sink@ bar
4th rowRepair wall near grill where edge is detached. Re-caulk around 3-comp sink.
5th rowrepair leaking faucet at hand sink and re-attach hand sinks
ValueCountFrequency (%)
6
 
4.0%
all 5
 
3.4%
hand 5
 
3.4%
sink 3
 
2.0%
inspection 3
 
2.0%
no 3
 
2.0%
to 3
 
2.0%
food 3
 
2.0%
in 3
 
2.0%
on 2
 
1.3%
Other values (95) 113
75.8%
2024-02-15T22:51:17.631563image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
 
15.8%
e 51
 
5.9%
n 48
 
5.6%
a 48
 
5.6%
i 42
 
4.9%
o 38
 
4.4%
t 36
 
4.2%
s 33
 
3.8%
r 29
 
3.4%
d 28
 
3.3%
Other values (49) 371
43.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 505
58.7%
Uppercase Letter 189
 
22.0%
Space Separator 136
 
15.8%
Other Punctuation 14
 
1.6%
Decimal Number 9
 
1.0%
Dash Punctuation 3
 
0.3%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 51
10.1%
n 48
 
9.5%
a 48
 
9.5%
i 42
 
8.3%
o 38
 
7.5%
t 36
 
7.1%
s 33
 
6.5%
r 29
 
5.7%
d 28
 
5.5%
l 26
 
5.1%
Other values (13) 126
25.0%
Uppercase Letter
ValueCountFrequency (%)
N 18
 
9.5%
S 16
 
8.5%
I 16
 
8.5%
R 16
 
8.5%
E 14
 
7.4%
O 14
 
7.4%
A 13
 
6.9%
L 12
 
6.3%
T 10
 
5.3%
D 9
 
4.8%
Other values (12) 51
27.0%
Other Punctuation
ValueCountFrequency (%)
. 5
35.7%
/ 4
28.6%
& 2
 
14.3%
@ 2
 
14.3%
, 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
2 3
33.3%
5 1
 
11.1%
3 1
 
11.1%
9 1
 
11.1%
Space Separator
ValueCountFrequency (%)
136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 694
80.7%
Common 166
 
19.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 51
 
7.3%
n 48
 
6.9%
a 48
 
6.9%
i 42
 
6.1%
o 38
 
5.5%
t 36
 
5.2%
s 33
 
4.8%
r 29
 
4.2%
d 28
 
4.0%
l 26
 
3.7%
Other values (35) 315
45.4%
Common
ValueCountFrequency (%)
136
81.9%
. 5
 
3.0%
/ 4
 
2.4%
- 3
 
1.8%
1 3
 
1.8%
2 3
 
1.8%
( 2
 
1.2%
) 2
 
1.2%
& 2
 
1.2%
@ 2
 
1.2%
Other values (4) 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
 
15.8%
e 51
 
5.9%
n 48
 
5.6%
a 48
 
5.6%
i 42
 
4.9%
o 38
 
4.4%
t 36
 
4.2%
s 33
 
3.8%
r 29
 
3.4%
d 28
 
3.3%
Other values (49) 371
43.1%
Distinct14
Distinct (%)100.0%
Missing6694
Missing (%)99.8%
Memory size52.5 KiB
2024-02-15T22:51:18.348068image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length66
Median length47.5
Mean length41.642857
Min length20

Characters and Unicode

Total characters583
Distinct characters48
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)100.0%

Sample

1st row*33 Warewashing sinks and drain boards, self-draining.
2nd row*42 Dirty nonfood contact surfaces
3rd row*10 Clean Sight and Touch
4th row*47 Other Violations
5th row*06 Discard if TCS is in container w/ no date or day
ValueCountFrequency (%)
in 3
 
3.2%
45 3
 
3.2%
container 2
 
2.1%
or 2
 
2.1%
for 2
 
2.1%
equipment 2
 
2.1%
premises 2
 
2.1%
and 2
 
2.1%
labeling-non 1
 
1.1%
orderly 1
 
1.1%
Other values (75) 75
78.9%
2024-02-15T22:51:19.601421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
14.2%
n 48
 
8.2%
e 48
 
8.2%
i 41
 
7.0%
a 36
 
6.2%
o 35
 
6.0%
r 32
 
5.5%
s 28
 
4.8%
t 25
 
4.3%
d 20
 
3.4%
Other values (38) 187
32.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 428
73.4%
Space Separator 83
 
14.2%
Decimal Number 28
 
4.8%
Uppercase Letter 21
 
3.6%
Other Punctuation 20
 
3.4%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 48
11.2%
e 48
11.2%
i 41
9.6%
a 36
 
8.4%
o 35
 
8.2%
r 32
 
7.5%
s 28
 
6.5%
t 25
 
5.8%
d 20
 
4.7%
g 16
 
3.7%
Other values (14) 99
23.1%
Decimal Number
ValueCountFrequency (%)
4 8
28.6%
3 5
17.9%
5 4
14.3%
1 3
 
10.7%
0 2
 
7.1%
6 2
 
7.1%
2 2
 
7.1%
7 1
 
3.6%
8 1
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
T 4
19.0%
S 3
14.3%
C 3
14.3%
D 3
14.3%
W 2
9.5%
P 2
9.5%
E 2
9.5%
V 1
 
4.8%
O 1
 
4.8%
Other Punctuation
ValueCountFrequency (%)
* 14
70.0%
, 4
 
20.0%
/ 1
 
5.0%
. 1
 
5.0%
Space Separator
ValueCountFrequency (%)
83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 449
77.0%
Common 134
 
23.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 48
 
10.7%
e 48
 
10.7%
i 41
 
9.1%
a 36
 
8.0%
o 35
 
7.8%
r 32
 
7.1%
s 28
 
6.2%
t 25
 
5.6%
d 20
 
4.5%
g 16
 
3.6%
Other values (23) 120
26.7%
Common
ValueCountFrequency (%)
83
61.9%
* 14
 
10.4%
4 8
 
6.0%
3 5
 
3.7%
, 4
 
3.0%
5 4
 
3.0%
1 3
 
2.2%
- 3
 
2.2%
0 2
 
1.5%
6 2
 
1.5%
Other values (5) 6
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 583
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
14.2%
n 48
 
8.2%
e 48
 
8.2%
i 41
 
7.0%
a 36
 
6.2%
o 35
 
6.0%
r 32
 
5.5%
s 28
 
4.8%
t 25
 
4.3%
d 20
 
3.4%
Other values (38) 187
32.1%

Violation Points - 18
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)21.4%
Missing6694
Missing (%)99.8%
Memory size52.5 KiB
1.0
3.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters42
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.0
2nd row1.0
3rd row3.0
4th row1.0
5th row3.0

Common Values

ValueCountFrequency (%)
1.0 8
 
0.1%
3.0 4
 
0.1%
2.0 2
 
< 0.1%
(Missing) 6694
99.8%

Length

2024-02-15T22:51:20.143613image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:20.643249image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 8
57.1%
3.0 4
28.6%
2.0 2
 
14.3%

Most occurring characters

ValueCountFrequency (%)
. 14
33.3%
0 14
33.3%
1 8
19.0%
3 4
 
9.5%
2 2
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
66.7%
Other Punctuation 14
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
50.0%
1 8
28.6%
3 4
 
14.3%
2 2
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 42
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 14
33.3%
0 14
33.3%
1 8
19.0%
3 4
 
9.5%
2 2
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 42
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 14
33.3%
0 14
33.3%
1 8
19.0%
3 4
 
9.5%
2 2
 
4.8%

Violation Detail - 18
Text

MISSING 

Distinct13
Distinct (%)100.0%
Missing6695
Missing (%)99.8%
Memory size52.5 KiB
2024-02-15T22:51:21.030712image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length439
Median length283
Mean length299.53846
Min length205

Characters and Unicode

Total characters3894
Distinct characters59
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)100.0%

Sample

1st row228.106 Equipment, Utensils, and Linens. Functionality of equipment. (s) Warewashing sinks and drain boards, self-draining. Sinks and drain boards of warewashing sinks and machines shall be self-draining.
2nd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.
3rd row228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.
4th row228.75 Food. Time and temperature control. (h) Ready-to-eat, TCS food, disposition. (1) A food specified in subsection (g)(1) or (2) of this section shall be discarded if it: (B) is in a container or package that does not bear a date or day; or
5th row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
ValueCountFrequency (%)
and 39
 
7.6%
of 19
 
3.7%
equipment 17
 
3.3%
shall 13
 
2.5%
be 11
 
2.1%
utensils 11
 
2.1%
food 11
 
2.1%
a 11
 
2.1%
or 10
 
2.0%
in 10
 
2.0%
Other values (216) 360
70.3%
2024-02-15T22:51:21.713054image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
815
20.9%
e 302
 
7.8%
n 258
 
6.6%
i 252
 
6.5%
a 243
 
6.2%
s 238
 
6.1%
t 196
 
5.0%
o 193
 
5.0%
r 135
 
3.5%
l 126
 
3.2%
Other values (49) 1136
29.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2695
69.2%
Space Separator 815
 
20.9%
Other Punctuation 140
 
3.6%
Decimal Number 93
 
2.4%
Uppercase Letter 80
 
2.1%
Open Punctuation 28
 
0.7%
Close Punctuation 28
 
0.7%
Dash Punctuation 15
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 302
11.2%
n 258
9.6%
i 252
 
9.4%
a 243
 
9.0%
s 238
 
8.8%
t 196
 
7.3%
o 193
 
7.2%
r 135
 
5.0%
l 126
 
4.7%
d 116
 
4.3%
Other values (17) 636
23.6%
Uppercase Letter
ValueCountFrequency (%)
P 13
16.2%
F 11
13.8%
E 8
10.0%
W 7
8.8%
M 6
7.5%
C 6
7.5%
T 5
 
6.2%
R 5
 
6.2%
L 5
 
6.2%
U 5
 
6.2%
Other values (5) 9
11.2%
Decimal Number
ValueCountFrequency (%)
2 38
40.9%
8 20
21.5%
1 17
18.3%
3 5
 
5.4%
6 5
 
5.4%
0 3
 
3.2%
5 2
 
2.2%
4 2
 
2.2%
7 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 69
49.3%
. 58
41.4%
; 7
 
5.0%
: 6
 
4.3%
Space Separator
ValueCountFrequency (%)
815
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2775
71.3%
Common 1119
28.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 302
10.9%
n 258
 
9.3%
i 252
 
9.1%
a 243
 
8.8%
s 238
 
8.6%
t 196
 
7.1%
o 193
 
7.0%
r 135
 
4.9%
l 126
 
4.5%
d 116
 
4.2%
Other values (32) 716
25.8%
Common
ValueCountFrequency (%)
815
72.8%
, 69
 
6.2%
. 58
 
5.2%
2 38
 
3.4%
( 28
 
2.5%
) 28
 
2.5%
8 20
 
1.8%
1 17
 
1.5%
- 15
 
1.3%
; 7
 
0.6%
Other values (7) 24
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3893
> 99.9%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
815
20.9%
e 302
 
7.8%
n 258
 
6.6%
i 252
 
6.5%
a 243
 
6.2%
s 238
 
6.1%
t 196
 
5.0%
o 193
 
5.0%
r 135
 
3.5%
l 126
 
3.2%
Other values (48) 1135
29.2%
None
ValueCountFrequency (%)
õ 1
100.0%

Violation Memo - 18
Text

MISSING 

Distinct12
Distinct (%)100.0%
Missing6696
Missing (%)99.8%
Memory size52.5 KiB
2024-02-15T22:51:22.208658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length120
Median length60
Mean length61.166667
Min length7

Characters and Unicode

Total characters734
Distinct characters55
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)100.0%

Sample

1st rowDeep cleaning needed. Observed dirty fan in WIC, dirty shelves, vent hood.
2nd rowclean can opener ice machine incredibly slimy soda gun and holster very slimy
3rd rowMake sign: "Most recent inspection report available upon request.
4th rowno date marking on prepared food items
5th rowobserved employees donning gloves without washing hands
ValueCountFrequency (%)
and 4
 
3.4%
clean 3
 
2.6%
dirty 3
 
2.6%
prep 2
 
1.7%
to 2
 
1.7%
on 2
 
1.7%
items 2
 
1.7%
slimy 2
 
1.7%
area 2
 
1.7%
replace 2
 
1.7%
Other values (90) 93
79.5%
2024-02-15T22:51:22.936931image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
113
 
15.4%
e 67
 
9.1%
n 44
 
6.0%
i 39
 
5.3%
a 38
 
5.2%
t 35
 
4.8%
r 32
 
4.4%
o 30
 
4.1%
s 28
 
3.8%
l 23
 
3.1%
Other values (45) 285
38.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 476
64.9%
Uppercase Letter 132
 
18.0%
Space Separator 113
 
15.4%
Other Punctuation 11
 
1.5%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 67
14.1%
n 44
 
9.2%
i 39
 
8.2%
a 38
 
8.0%
t 35
 
7.4%
r 32
 
6.7%
o 30
 
6.3%
s 28
 
5.9%
l 23
 
4.8%
d 22
 
4.6%
Other values (14) 118
24.8%
Uppercase Letter
ValueCountFrequency (%)
E 15
11.4%
R 14
 
10.6%
T 11
 
8.3%
O 10
 
7.6%
A 9
 
6.8%
L 8
 
6.1%
P 8
 
6.1%
S 8
 
6.1%
I 7
 
5.3%
D 6
 
4.5%
Other values (13) 36
27.3%
Other Punctuation
ValueCountFrequency (%)
. 5
45.5%
, 3
27.3%
" 1
 
9.1%
: 1
 
9.1%
& 1
 
9.1%
Space Separator
ValueCountFrequency (%)
113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 608
82.8%
Common 126
 
17.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 67
 
11.0%
n 44
 
7.2%
i 39
 
6.4%
a 38
 
6.2%
t 35
 
5.8%
r 32
 
5.3%
o 30
 
4.9%
s 28
 
4.6%
l 23
 
3.8%
d 22
 
3.6%
Other values (37) 250
41.1%
Common
ValueCountFrequency (%)
113
89.7%
. 5
 
4.0%
, 3
 
2.4%
" 1
 
0.8%
( 1
 
0.8%
) 1
 
0.8%
: 1
 
0.8%
& 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 734
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
113
 
15.4%
e 67
 
9.1%
n 44
 
6.0%
i 39
 
5.3%
a 38
 
5.2%
t 35
 
4.8%
r 32
 
4.4%
o 30
 
4.1%
s 28
 
3.8%
l 23
 
3.1%
Other values (45) 285
38.8%
Distinct8
Distinct (%)100.0%
Missing6700
Missing (%)99.9%
Memory size52.5 KiB
2024-02-15T22:51:23.356934image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length54
Median length48.5
Mean length38.75
Min length23

Characters and Unicode

Total characters310
Distinct characters47
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row*45 Premises shall be maintained in good repair
2nd row*20 Grease Trap Tickets
3rd row*42 Floors/walls/ceiling/nonfood dirty
4th row*10 Equipment and Utensils Cleaning-contamination
5th row*38 Thawing. under running water criteria - < 4 hours
ValueCountFrequency (%)
2
 
4.3%
maintained 2
 
4.3%
and 2
 
4.3%
10 2
 
4.3%
45 1
 
2.1%
clean 1
 
2.1%
criteria 1
 
2.1%
4 1
 
2.1%
hours 1
 
2.1%
47 1
 
2.1%
Other values (33) 33
70.2%
2024-02-15T22:51:24.003989image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
13.2%
n 27
 
8.7%
i 23
 
7.4%
a 23
 
7.4%
e 19
 
6.1%
o 17
 
5.5%
r 15
 
4.8%
t 14
 
4.5%
s 13
 
4.2%
d 11
 
3.5%
Other values (37) 107
34.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 219
70.6%
Space Separator 41
 
13.2%
Decimal Number 20
 
6.5%
Uppercase Letter 15
 
4.8%
Other Punctuation 12
 
3.9%
Dash Punctuation 2
 
0.6%
Math Symbol 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 27
12.3%
i 23
10.5%
a 23
10.5%
e 19
 
8.7%
o 17
 
7.8%
r 15
 
6.8%
t 14
 
6.4%
s 13
 
5.9%
d 11
 
5.0%
g 9
 
4.1%
Other values (14) 48
21.9%
Uppercase Letter
ValueCountFrequency (%)
T 4
26.7%
F 3
20.0%
C 2
13.3%
S 1
 
6.7%
H 1
 
6.7%
P 1
 
6.7%
U 1
 
6.7%
G 1
 
6.7%
E 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 4
20.0%
4 4
20.0%
1 3
15.0%
3 3
15.0%
2 2
10.0%
5 2
10.0%
8 1
 
5.0%
7 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
* 8
66.7%
/ 3
 
25.0%
. 1
 
8.3%
Space Separator
ValueCountFrequency (%)
41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
< 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 234
75.5%
Common 76
 
24.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 27
11.5%
i 23
 
9.8%
a 23
 
9.8%
e 19
 
8.1%
o 17
 
7.3%
r 15
 
6.4%
t 14
 
6.0%
s 13
 
5.6%
d 11
 
4.7%
g 9
 
3.8%
Other values (23) 63
26.9%
Common
ValueCountFrequency (%)
41
53.9%
* 8
 
10.5%
0 4
 
5.3%
4 4
 
5.3%
1 3
 
3.9%
3 3
 
3.9%
/ 3
 
3.9%
2 2
 
2.6%
- 2
 
2.6%
5 2
 
2.6%
Other values (4) 4
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 309
99.7%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
41
 
13.3%
n 27
 
8.7%
i 23
 
7.4%
a 23
 
7.4%
e 19
 
6.1%
o 17
 
5.5%
r 15
 
4.9%
t 14
 
4.5%
s 13
 
4.2%
d 11
 
3.6%
Other values (36) 106
34.3%
None
ValueCountFrequency (%)
ø 1
100.0%

Violation Points - 19
Categorical

HIGH CORRELATION  MISSING  UNIFORM 

Distinct2
Distinct (%)25.0%
Missing6700
Missing (%)99.9%
Memory size52.5 KiB
1.0
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters24
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row3.0
3rd row1.0
4th row3.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 4
 
0.1%
3.0 4
 
0.1%
(Missing) 6700
99.9%

Length

2024-02-15T22:51:24.305034image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:24.536358image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 4
50.0%
3.0 4
50.0%

Most occurring characters

ValueCountFrequency (%)
. 8
33.3%
0 8
33.3%
1 4
16.7%
3 4
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16
66.7%
Other Punctuation 8
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
50.0%
1 4
25.0%
3 4
25.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 8
33.3%
0 8
33.3%
1 4
16.7%
3 4
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 8
33.3%
0 8
33.3%
1 4
16.7%
3 4
16.7%

Violation Detail - 19
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing6700
Missing (%)99.9%
Memory size52.5 KiB
2024-02-15T22:51:24.979472image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length675
Median length273.5
Mean length334.125
Min length205

Characters and Unicode

Total characters2673
Distinct characters58
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st row228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.
2nd rowCh.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.
3rd row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
4th row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be cleaned: (E) at any time during the operation when contamination may have occurred.
5th row228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (D) for a period of time that does not allow thawed portions of a raw animal food requiring cooking as specified in õ228.71(a)(1) or (2) of this title to be above 5 degrees Celsius (41 degrees Fahrenheit) for more than four hours including
ValueCountFrequency (%)
and 17
 
4.5%
of 15
 
4.0%
a 13
 
3.5%
equipment 10
 
2.7%
be 10
 
2.7%
shall 10
 
2.7%
food 9
 
2.4%
the 8
 
2.1%
utensils 8
 
2.1%
at 7
 
1.9%
Other values (157) 269
71.5%
2024-02-15T22:51:25.774420image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
566
21.2%
e 225
 
8.4%
a 150
 
5.6%
s 144
 
5.4%
i 143
 
5.3%
t 141
 
5.3%
o 141
 
5.3%
n 138
 
5.2%
r 102
 
3.8%
d 83
 
3.1%
Other values (48) 840
31.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1836
68.7%
Space Separator 566
 
21.2%
Decimal Number 84
 
3.1%
Other Punctuation 69
 
2.6%
Uppercase Letter 55
 
2.1%
Close Punctuation 28
 
1.0%
Open Punctuation 27
 
1.0%
Dash Punctuation 8
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 225
12.3%
a 150
 
8.2%
s 144
 
7.8%
i 143
 
7.8%
t 141
 
7.7%
o 141
 
7.7%
n 138
 
7.5%
r 102
 
5.6%
d 83
 
4.5%
c 82
 
4.5%
Other values (15) 487
26.5%
Uppercase Letter
ValueCountFrequency (%)
E 10
18.2%
F 9
16.4%
T 8
14.5%
C 7
12.7%
A 3
 
5.5%
U 3
 
5.5%
L 3
 
5.5%
P 3
 
5.5%
S 3
 
5.5%
N 2
 
3.6%
Other values (3) 4
 
7.3%
Decimal Number
ValueCountFrequency (%)
2 25
29.8%
1 19
22.6%
8 11
13.1%
5 8
 
9.5%
7 7
 
8.3%
4 5
 
6.0%
3 5
 
6.0%
6 2
 
2.4%
9 1
 
1.2%
0 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 40
58.0%
, 22
31.9%
: 4
 
5.8%
# 1
 
1.4%
/ 1
 
1.4%
; 1
 
1.4%
Space Separator
ValueCountFrequency (%)
566
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1891
70.7%
Common 782
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 225
11.9%
a 150
 
7.9%
s 144
 
7.6%
i 143
 
7.6%
t 141
 
7.5%
o 141
 
7.5%
n 138
 
7.3%
r 102
 
5.4%
d 83
 
4.4%
c 82
 
4.3%
Other values (28) 542
28.7%
Common
ValueCountFrequency (%)
566
72.4%
. 40
 
5.1%
) 28
 
3.6%
( 27
 
3.5%
2 25
 
3.2%
, 22
 
2.8%
1 19
 
2.4%
8 11
 
1.4%
- 8
 
1.0%
5 8
 
1.0%
Other values (10) 28
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2670
99.9%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
566
21.2%
e 225
 
8.4%
a 150
 
5.6%
s 144
 
5.4%
i 143
 
5.4%
t 141
 
5.3%
o 141
 
5.3%
n 138
 
5.2%
r 102
 
3.8%
d 83
 
3.1%
Other values (47) 837
31.3%
None
ValueCountFrequency (%)
õ 3
100.0%

Violation Memo - 19
Text

MISSING 

Distinct8
Distinct (%)100.0%
Missing6700
Missing (%)99.9%
Memory size52.5 KiB
2024-02-15T22:51:26.229985image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length166
Median length49.5
Mean length72.875
Min length27

Characters and Unicode

Total characters583
Distinct characters54
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)100.0%

Sample

1st rowRepair tiles in floor, repair/replace fan cover in WIC.
2nd rowProvide current grease trap records
3rd rowdeep clean floors ( behind and under equipment ), remove build- up from vent hood system, clean walls by hand and prep sink, & remove dust from ceiling over prep area
4th rowcooler units in all areas dirty with food debris, spills, blood and soils accumulations must be clean to avoid cross contamination
5th rownot properly thawing procedures must be thawing food in an clean and running water
ValueCountFrequency (%)
clean 5
 
5.1%
in 4
 
4.1%
and 4
 
4.1%
hand 3
 
3.1%
3
 
3.1%
remove 2
 
2.0%
thawing 2
 
2.0%
food 2
 
2.0%
prep 2
 
2.0%
deep 2
 
2.0%
Other values (64) 69
70.4%
2024-02-15T22:51:26.914639image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
16.0%
e 42
 
7.2%
n 37
 
6.3%
a 35
 
6.0%
r 35
 
6.0%
o 33
 
5.7%
i 30
 
5.1%
s 27
 
4.6%
d 23
 
3.9%
l 23
 
3.9%
Other values (44) 205
35.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 409
70.2%
Space Separator 93
 
16.0%
Uppercase Letter 65
 
11.1%
Other Punctuation 10
 
1.7%
Dash Punctuation 2
 
0.3%
Decimal Number 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 42
10.3%
n 37
 
9.0%
a 35
 
8.6%
r 35
 
8.6%
o 33
 
8.1%
i 30
 
7.3%
s 27
 
6.6%
d 23
 
5.6%
l 23
 
5.6%
t 21
 
5.1%
Other values (13) 103
25.2%
Uppercase Letter
ValueCountFrequency (%)
N 9
13.8%
I 7
10.8%
E 7
10.8%
T 6
9.2%
S 5
 
7.7%
O 4
 
6.2%
A 4
 
6.2%
R 3
 
4.6%
P 3
 
4.6%
C 3
 
4.6%
Other values (10) 14
21.5%
Other Punctuation
ValueCountFrequency (%)
, 6
60.0%
* 1
 
10.0%
/ 1
 
10.0%
. 1
 
10.0%
& 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
8 1
50.0%
Space Separator
ValueCountFrequency (%)
93
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 474
81.3%
Common 109
 
18.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 42
 
8.9%
n 37
 
7.8%
a 35
 
7.4%
r 35
 
7.4%
o 33
 
7.0%
i 30
 
6.3%
s 27
 
5.7%
d 23
 
4.9%
l 23
 
4.9%
t 21
 
4.4%
Other values (33) 168
35.4%
Common
ValueCountFrequency (%)
93
85.3%
, 6
 
5.5%
- 2
 
1.8%
* 1
 
0.9%
9 1
 
0.9%
8 1
 
0.9%
/ 1
 
0.9%
) 1
 
0.9%
. 1
 
0.9%
( 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 583
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
16.0%
e 42
 
7.2%
n 37
 
6.3%
a 35
 
6.0%
r 35
 
6.0%
o 33
 
5.7%
i 30
 
5.1%
s 27
 
4.6%
d 23
 
3.9%
l 23
 
3.9%
Other values (44) 205
35.2%
Distinct5
Distinct (%)100.0%
Missing6703
Missing (%)99.9%
Memory size52.5 KiB
2024-02-15T22:51:27.281835image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length74
Median length39
Mean length42.6
Min length21

Characters and Unicode

Total characters213
Distinct characters40
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row*32 Damaged Equipment
2nd row*29 Sanitizing solutions, testing devices
3rd row*10 Equipment and Utensils Sanitization
4th row*42 Floors/walls/ceiling/nonfood dirty
5th row*37 Unpackaged food may not be stored in direct contact with undrained ice
ValueCountFrequency (%)
equipment 2
 
6.9%
32 1
 
3.4%
37 1
 
3.4%
undrained 1
 
3.4%
with 1
 
3.4%
contact 1
 
3.4%
direct 1
 
3.4%
in 1
 
3.4%
stored 1
 
3.4%
be 1
 
3.4%
Other values (18) 18
62.1%
2024-02-15T22:51:27.890870image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
11.3%
i 20
 
9.4%
n 19
 
8.9%
t 16
 
7.5%
e 14
 
6.6%
o 13
 
6.1%
a 12
 
5.6%
d 11
 
5.2%
s 9
 
4.2%
c 7
 
3.3%
Other values (30) 68
31.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 162
76.1%
Space Separator 24
 
11.3%
Decimal Number 10
 
4.7%
Other Punctuation 9
 
4.2%
Uppercase Letter 8
 
3.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 20
12.3%
n 19
11.7%
t 16
9.9%
e 14
 
8.6%
o 13
 
8.0%
a 12
 
7.4%
d 11
 
6.8%
s 9
 
5.6%
c 7
 
4.3%
l 6
 
3.7%
Other values (14) 35
21.6%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
3 2
20.0%
7 1
 
10.0%
1 1
 
10.0%
4 1
 
10.0%
0 1
 
10.0%
9 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
E 2
25.0%
S 2
25.0%
U 2
25.0%
F 1
12.5%
D 1
12.5%
Other Punctuation
ValueCountFrequency (%)
* 5
55.6%
/ 3
33.3%
, 1
 
11.1%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 170
79.8%
Common 43
 
20.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 20
11.8%
n 19
11.2%
t 16
 
9.4%
e 14
 
8.2%
o 13
 
7.6%
a 12
 
7.1%
d 11
 
6.5%
s 9
 
5.3%
c 7
 
4.1%
l 6
 
3.5%
Other values (19) 43
25.3%
Common
ValueCountFrequency (%)
24
55.8%
* 5
 
11.6%
2 3
 
7.0%
/ 3
 
7.0%
3 2
 
4.7%
7 1
 
2.3%
1 1
 
2.3%
4 1
 
2.3%
0 1
 
2.3%
, 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 213
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
 
11.3%
i 20
 
9.4%
n 19
 
8.9%
t 16
 
7.5%
e 14
 
6.6%
o 13
 
6.1%
a 12
 
5.6%
d 11
 
5.2%
s 9
 
4.2%
c 7
 
3.3%
Other values (30) 68
31.9%

Violation Points - 20
Categorical

HIGH CORRELATION  MISSING 

Distinct3
Distinct (%)60.0%
Missing6703
Missing (%)99.9%
Memory size52.5 KiB
2.0
1.0
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters15
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)20.0%

Sample

1st row2.0
2nd row2.0
3rd row3.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
2.0 2
 
< 0.1%
1.0 2
 
< 0.1%
3.0 1
 
< 0.1%
(Missing) 6703
99.9%

Length

2024-02-15T22:51:28.195692image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:28.461835image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2.0 2
40.0%
1.0 2
40.0%
3.0 1
20.0%

Most occurring characters

ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
2 2
 
13.3%
1 2
 
13.3%
3 1
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10
66.7%
Other Punctuation 5
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
50.0%
2 2
 
20.0%
1 2
 
20.0%
3 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
2 2
 
13.3%
1 2
 
13.3%
3 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5
33.3%
0 5
33.3%
2 2
 
13.3%
1 2
 
13.3%
3 1
 
6.7%

Violation Detail - 20
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing6703
Missing (%)99.9%
Memory size52.5 KiB
2024-02-15T22:51:28.874089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length312
Median length284
Mean length274.4
Min length236

Characters and Unicode

Total characters1372
Distinct characters55
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (2) free of breaks, open seams, cracks, chips, inclusions, pits, and similar imperfections;
2nd row228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.
3rd row228.118 Equipment, Utensils, and Linens. Sanitization Methods, Hot Water and Chemicals. After being cleaned, equipment food-contact surfaces and utensils shall be sanitized in: (1) hot water manual operations by immersion for at least 30 seconds and as specified in õ228.111(k) of this title;
4th row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (c) Nonfood-contact surfaces. Nonfood-contact surfaces of equipment shall be cleaned at a frequency necessary to preclude accumulation of soil residues.
5th row228.67 Food. Preventing contamination from ice used as a coolant. (b) Storage or display of food in contact with water or ice. (2) Except as specified in paragraphs (3) and (4) of this subsection, unpackaged food may not be stored in direct contact with undrained ice.
ValueCountFrequency (%)
and 10
 
5.5%
of 8
 
4.4%
in 6
 
3.3%
utensils 6
 
3.3%
equipment 6
 
3.3%
surfaces 5
 
2.8%
be 5
 
2.8%
shall 4
 
2.2%
a 4
 
2.2%
linens 4
 
2.2%
Other values (96) 123
68.0%
2024-02-15T22:51:29.632817image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
292
21.3%
e 105
 
7.7%
n 89
 
6.5%
i 84
 
6.1%
t 82
 
6.0%
s 80
 
5.8%
a 78
 
5.7%
o 68
 
5.0%
c 55
 
4.0%
r 41
 
3.0%
Other values (45) 398
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 933
68.0%
Space Separator 292
 
21.3%
Other Punctuation 48
 
3.5%
Decimal Number 42
 
3.1%
Uppercase Letter 32
 
2.3%
Open Punctuation 10
 
0.7%
Close Punctuation 10
 
0.7%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 105
11.3%
n 89
9.5%
i 84
 
9.0%
t 82
 
8.8%
s 80
 
8.6%
a 78
 
8.4%
o 68
 
7.3%
c 55
 
5.9%
r 41
 
4.4%
d 40
 
4.3%
Other values (16) 211
22.6%
Uppercase Letter
ValueCountFrequency (%)
L 5
15.6%
U 5
15.6%
E 5
15.6%
F 3
9.4%
S 3
9.4%
N 2
 
6.2%
A 2
 
6.2%
C 2
 
6.2%
M 2
 
6.2%
H 1
 
3.1%
Other values (2) 2
 
6.2%
Decimal Number
ValueCountFrequency (%)
2 14
33.3%
1 10
23.8%
8 8
19.0%
0 3
 
7.1%
4 3
 
7.1%
3 2
 
4.8%
6 1
 
2.4%
7 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 23
47.9%
, 20
41.7%
; 2
 
4.2%
: 2
 
4.2%
/ 1
 
2.1%
Space Separator
ValueCountFrequency (%)
292
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 965
70.3%
Common 407
29.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 105
10.9%
n 89
 
9.2%
i 84
 
8.7%
t 82
 
8.5%
s 80
 
8.3%
a 78
 
8.1%
o 68
 
7.0%
c 55
 
5.7%
r 41
 
4.2%
d 40
 
4.1%
Other values (28) 243
25.2%
Common
ValueCountFrequency (%)
292
71.7%
. 23
 
5.7%
, 20
 
4.9%
2 14
 
3.4%
( 10
 
2.5%
) 10
 
2.5%
1 10
 
2.5%
8 8
 
2.0%
- 5
 
1.2%
0 3
 
0.7%
Other values (7) 12
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1371
99.9%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
292
21.3%
e 105
 
7.7%
n 89
 
6.5%
i 84
 
6.1%
t 82
 
6.0%
s 80
 
5.8%
a 78
 
5.7%
o 68
 
5.0%
c 55
 
4.0%
r 41
 
3.0%
Other values (44) 397
29.0%
None
ValueCountFrequency (%)
õ 1
100.0%

Violation Memo - 20
Text

MISSING 

Distinct5
Distinct (%)100.0%
Missing6703
Missing (%)99.9%
Memory size52.5 KiB
2024-02-15T22:51:29.988993image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length125
Median length32
Mean length51.4
Min length22

Characters and Unicode

Total characters257
Distinct characters42
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)100.0%

Sample

1st rowreplace damage gaskets
2nd rowmissing sanitizing strips to check chemical concentration must be have sanitizing strips to verified chemical concentration
3rd rowutensils must be sanitize
4th rowCLEAN FRPS, WALLS, FLOORS, FAN VENT COVERS & GASKETS
5th rowLETTUCE STORED IN STANDING WATER
ValueCountFrequency (%)
concentration 2
 
5.4%
gaskets 2
 
5.4%
sanitizing 2
 
5.4%
strips 2
 
5.4%
to 2
 
5.4%
chemical 2
 
5.4%
must 2
 
5.4%
be 2
 
5.4%
lettuce 1
 
2.7%
vent 1
 
2.7%
Other values (19) 19
51.4%
2024-02-15T22:51:30.602963image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
13.6%
i 19
 
7.4%
e 16
 
6.2%
s 15
 
5.8%
t 15
 
5.8%
n 13
 
5.1%
a 12
 
4.7%
c 11
 
4.3%
S 8
 
3.1%
E 8
 
3.1%
Other values (32) 105
40.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 150
58.4%
Uppercase Letter 68
26.5%
Space Separator 35
 
13.6%
Other Punctuation 4
 
1.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
i 19
12.7%
e 16
10.7%
s 15
10.0%
t 15
10.0%
n 13
8.7%
a 12
 
8.0%
c 11
 
7.3%
r 6
 
4.0%
o 6
 
4.0%
m 6
 
4.0%
Other values (11) 31
20.7%
Uppercase Letter
ValueCountFrequency (%)
S 8
11.8%
E 8
11.8%
T 7
10.3%
N 6
8.8%
A 6
8.8%
L 5
 
7.4%
R 5
 
7.4%
O 4
 
5.9%
F 3
 
4.4%
C 3
 
4.4%
Other values (8) 13
19.1%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 218
84.8%
Common 39
 
15.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
i 19
 
8.7%
e 16
 
7.3%
s 15
 
6.9%
t 15
 
6.9%
n 13
 
6.0%
a 12
 
5.5%
c 11
 
5.0%
S 8
 
3.7%
E 8
 
3.7%
T 7
 
3.2%
Other values (29) 94
43.1%
Common
ValueCountFrequency (%)
35
89.7%
, 3
 
7.7%
& 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 257
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
 
13.6%
i 19
 
7.4%
e 16
 
6.2%
s 15
 
5.8%
t 15
 
5.8%
n 13
 
5.1%
a 12
 
4.7%
c 11
 
4.3%
S 8
 
3.1%
E 8
 
3.1%
Other values (32) 105
40.9%
Distinct2
Distinct (%)100.0%
Missing6706
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:31.021408image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length49
Median length49
Mean length49
Min length49

Characters and Unicode

Total characters98
Distinct characters27
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row*14 When to wash hands before donning new gloves
2nd row*31 Handwashing lavatory - used for other purpose
ValueCountFrequency (%)
14 1
 
5.9%
31 1
 
5.9%
other 1
 
5.9%
for 1
 
5.9%
used 1
 
5.9%
1
 
5.9%
lavatory 1
 
5.9%
handwashing 1
 
5.9%
gloves 1
 
5.9%
when 1
 
5.9%
Other values (7) 7
41.2%
2024-02-15T22:51:31.824061image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
16.3%
e 8
 
8.2%
n 8
 
8.2%
o 8
 
8.2%
a 6
 
6.1%
s 6
 
6.1%
r 5
 
5.1%
h 5
 
5.1%
d 4
 
4.1%
t 3
 
3.1%
Other values (17) 29
29.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 73
74.5%
Space Separator 16
 
16.3%
Decimal Number 4
 
4.1%
Other Punctuation 2
 
2.0%
Uppercase Letter 2
 
2.0%
Dash Punctuation 1
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 8
11.0%
n 8
11.0%
o 8
11.0%
a 6
 
8.2%
s 6
 
8.2%
r 5
 
6.8%
h 5
 
6.8%
d 4
 
5.5%
t 3
 
4.1%
w 3
 
4.1%
Other values (9) 17
23.3%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
3 1
25.0%
4 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
50.0%
H 1
50.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
* 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 75
76.5%
Common 23
 
23.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 8
10.7%
n 8
10.7%
o 8
10.7%
a 6
 
8.0%
s 6
 
8.0%
r 5
 
6.7%
h 5
 
6.7%
d 4
 
5.3%
t 3
 
4.0%
w 3
 
4.0%
Other values (11) 19
25.3%
Common
ValueCountFrequency (%)
16
69.6%
* 2
 
8.7%
1 2
 
8.7%
3 1
 
4.3%
- 1
 
4.3%
4 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 98
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
16.3%
e 8
 
8.2%
n 8
 
8.2%
o 8
 
8.2%
a 6
 
6.1%
s 6
 
6.1%
r 5
 
5.1%
h 5
 
5.1%
d 4
 
4.1%
t 3
 
3.1%
Other values (17) 29
29.6%

Violation Points - 21
Categorical

HIGH CORRELATION  MISSING  UNIFORM 

Distinct2
Distinct (%)100.0%
Missing6706
Missing (%)> 99.9%
Memory size52.5 KiB
3.0
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters6
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row3.0
2nd row2.0

Common Values

ValueCountFrequency (%)
3.0 1
 
< 0.1%
2.0 1
 
< 0.1%
(Missing) 6706
> 99.9%

Length

2024-02-15T22:51:32.293830image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:32.699778image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3.0 1
50.0%
2.0 1
50.0%

Most occurring characters

ValueCountFrequency (%)
. 2
33.3%
0 2
33.3%
3 1
16.7%
2 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4
66.7%
Other Punctuation 2
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2
50.0%
3 1
25.0%
2 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 2
33.3%
0 2
33.3%
3 1
16.7%
2 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 2
33.3%
0 2
33.3%
3 1
16.7%
2 1
16.7%

Violation Detail - 21
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing6706
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:33.216839image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length438
Median length326
Mean length326
Min length214

Characters and Unicode

Total characters652
Distinct characters44
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)100.0%

Sample

1st row228.38 Management and Personnel. (d) When to wash. Food employees shall clean their hands and exposed portions of their arms as specified in subsection (b) of this section immediately before engaging in food preparation including working with exposed food, clean equipment and utensils, and unwrapped single-service and single-use articles and: (8) before donning gloves to initiate a task that involves working with food; and
2nd row228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.
ValueCountFrequency (%)
and 9
 
9.9%
a 4
 
4.4%
food 4
 
4.4%
handwashing 3
 
3.3%
their 2
 
2.2%
in 2
 
2.2%
before 2
 
2.2%
facility 2
 
2.2%
of 2
 
2.2%
exposed 2
 
2.2%
Other values (54) 59
64.8%
2024-02-15T22:51:34.225330image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
129
19.8%
n 54
 
8.3%
e 50
 
7.7%
a 45
 
6.9%
i 43
 
6.6%
o 34
 
5.2%
s 33
 
5.1%
t 30
 
4.6%
d 26
 
4.0%
r 19
 
2.9%
Other values (34) 189
29.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 473
72.5%
Space Separator 129
 
19.8%
Other Punctuation 15
 
2.3%
Decimal Number 13
 
2.0%
Uppercase Letter 10
 
1.5%
Close Punctuation 5
 
0.8%
Open Punctuation 5
 
0.8%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 54
11.4%
e 50
10.6%
a 45
 
9.5%
i 43
 
9.1%
o 34
 
7.2%
s 33
 
7.0%
t 30
 
6.3%
d 26
 
5.5%
r 19
 
4.0%
h 18
 
3.8%
Other values (14) 121
25.6%
Decimal Number
ValueCountFrequency (%)
2 5
38.5%
8 4
30.8%
1 1
 
7.7%
9 1
 
7.7%
4 1
 
7.7%
3 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
W 3
30.0%
P 3
30.0%
F 1
 
10.0%
U 1
 
10.0%
M 1
 
10.0%
A 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 8
53.3%
, 5
33.3%
; 1
 
6.7%
: 1
 
6.7%
Space Separator
ValueCountFrequency (%)
129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 483
74.1%
Common 169
 
25.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 54
11.2%
e 50
 
10.4%
a 45
 
9.3%
i 43
 
8.9%
o 34
 
7.0%
s 33
 
6.8%
t 30
 
6.2%
d 26
 
5.4%
r 19
 
3.9%
h 18
 
3.7%
Other values (20) 131
27.1%
Common
ValueCountFrequency (%)
129
76.3%
. 8
 
4.7%
, 5
 
3.0%
2 5
 
3.0%
) 5
 
3.0%
( 5
 
3.0%
8 4
 
2.4%
- 2
 
1.2%
1 1
 
0.6%
9 1
 
0.6%
Other values (4) 4
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
129
19.8%
n 54
 
8.3%
e 50
 
7.7%
a 45
 
6.9%
i 43
 
6.6%
o 34
 
5.2%
s 33
 
5.1%
t 30
 
4.6%
d 26
 
4.0%
r 19
 
2.9%
Other values (34) 189
29.0%

Violation Memo - 21
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:34.669999image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowHAND SINK USED TO AS A PREP SINK
ValueCountFrequency (%)
sink 2
25.0%
hand 1
12.5%
used 1
12.5%
to 1
12.5%
as 1
12.5%
a 1
12.5%
prep 1
12.5%
2024-02-15T22:51:35.597823image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7
21.9%
S 4
12.5%
A 3
9.4%
N 3
9.4%
D 2
 
6.2%
I 2
 
6.2%
K 2
 
6.2%
E 2
 
6.2%
P 2
 
6.2%
H 1
 
3.1%
Other values (4) 4
12.5%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 25
78.1%
Space Separator 7
 
21.9%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
S 4
16.0%
A 3
12.0%
N 3
12.0%
D 2
8.0%
I 2
8.0%
K 2
8.0%
E 2
8.0%
P 2
8.0%
H 1
 
4.0%
U 1
 
4.0%
Other values (3) 3
12.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 25
78.1%
Common 7
 
21.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
S 4
16.0%
A 3
12.0%
N 3
12.0%
D 2
8.0%
I 2
8.0%
K 2
8.0%
E 2
8.0%
P 2
8.0%
H 1
 
4.0%
U 1
 
4.0%
Other values (3) 3
12.0%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7
21.9%
S 4
12.5%
A 3
9.4%
N 3
9.4%
D 2
 
6.2%
I 2
 
6.2%
K 2
 
6.2%
E 2
 
6.2%
P 2
 
6.2%
H 1
 
3.1%
Other values (4) 4
12.5%

Violation Description - 22
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:36.093405image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length36
Median length36
Mean length36
Min length36

Characters and Unicode

Total characters36
Distinct characters21
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row*32 Equipment has cracks and corners
ValueCountFrequency (%)
32 1
16.7%
equipment 1
16.7%
has 1
16.7%
cracks 1
16.7%
and 1
16.7%
corners 1
16.7%
2024-02-15T22:51:37.007048image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5
13.9%
n 3
 
8.3%
r 3
 
8.3%
c 3
 
8.3%
s 3
 
8.3%
a 3
 
8.3%
e 2
 
5.6%
d 1
 
2.8%
k 1
 
2.8%
h 1
 
2.8%
Other values (11) 11
30.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 27
75.0%
Space Separator 5
 
13.9%
Decimal Number 2
 
5.6%
Other Punctuation 1
 
2.8%
Uppercase Letter 1
 
2.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 3
11.1%
r 3
11.1%
c 3
11.1%
s 3
11.1%
a 3
11.1%
e 2
 
7.4%
d 1
 
3.7%
k 1
 
3.7%
h 1
 
3.7%
t 1
 
3.7%
Other values (6) 6
22.2%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28
77.8%
Common 8
 
22.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 3
10.7%
r 3
10.7%
c 3
10.7%
s 3
10.7%
a 3
10.7%
e 2
 
7.1%
d 1
 
3.6%
k 1
 
3.6%
h 1
 
3.6%
t 1
 
3.6%
Other values (7) 7
25.0%
Common
ValueCountFrequency (%)
5
62.5%
* 1
 
12.5%
3 1
 
12.5%
2 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5
13.9%
n 3
 
8.3%
r 3
 
8.3%
c 3
 
8.3%
s 3
 
8.3%
a 3
 
8.3%
e 2
 
5.6%
d 1
 
2.8%
k 1
 
2.8%
h 1
 
2.8%
Other values (11) 11
30.6%

Violation Points - 22
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row2.0

Common Values

ValueCountFrequency (%)
2.0 1
 
< 0.1%
(Missing) 6707
> 99.9%

Length

2024-02-15T22:51:37.403947image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:37.874724image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
2.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
2 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Punctuation 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1
50.0%
0 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1
33.3%
. 1
33.3%
0 1
33.3%

Violation Detail - 22
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:38.325588image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length210
Median length210
Mean length210
Min length210

Characters and Unicode

Total characters210
Distinct characters41
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row228.104 Equipment, Utensils, and Linens. Cleanability. (a) Food-contact surfaces. Multi use food-contact surfaces shall be: (3) free of sharp internal angles, corners, and crevices;
ValueCountFrequency (%)
and 2
 
8.3%
food-contact 2
 
8.3%
surfaces 2
 
8.3%
228.104 1
 
4.2%
be 1
 
4.2%
corners 1
 
4.2%
angles 1
 
4.2%
internal 1
 
4.2%
sharp 1
 
4.2%
of 1
 
4.2%
Other values (11) 11
45.8%
2024-02-15T22:51:39.327261image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
24.8%
e 15
 
7.1%
a 13
 
6.2%
s 13
 
6.2%
n 13
 
6.2%
t 9
 
4.3%
c 9
 
4.3%
o 8
 
3.8%
l 8
 
3.8%
i 8
 
3.8%
Other values (31) 62
29.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 129
61.4%
Space Separator 52
24.8%
Other Punctuation 10
 
4.8%
Decimal Number 7
 
3.3%
Uppercase Letter 6
 
2.9%
Close Punctuation 2
 
1.0%
Dash Punctuation 2
 
1.0%
Open Punctuation 2
 
1.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 15
11.6%
a 13
10.1%
s 13
10.1%
n 13
10.1%
t 9
 
7.0%
c 9
 
7.0%
o 8
 
6.2%
l 8
 
6.2%
i 8
 
6.2%
r 8
 
6.2%
Other values (11) 25
19.4%
Decimal Number
ValueCountFrequency (%)
2 2
28.6%
4 1
14.3%
3 1
14.3%
1 1
14.3%
0 1
14.3%
8 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
L 1
16.7%
M 1
16.7%
E 1
16.7%
C 1
16.7%
F 1
16.7%
U 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 4
40.0%
. 4
40.0%
: 1
 
10.0%
; 1
 
10.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 135
64.3%
Common 75
35.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 15
11.1%
a 13
9.6%
s 13
9.6%
n 13
9.6%
t 9
 
6.7%
c 9
 
6.7%
o 8
 
5.9%
l 8
 
5.9%
i 8
 
5.9%
r 8
 
5.9%
Other values (17) 31
23.0%
Common
ValueCountFrequency (%)
52
69.3%
, 4
 
5.3%
. 4
 
5.3%
) 2
 
2.7%
- 2
 
2.7%
( 2
 
2.7%
2 2
 
2.7%
4 1
 
1.3%
3 1
 
1.3%
: 1
 
1.3%
Other values (4) 4
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 210
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52
24.8%
e 15
 
7.1%
a 13
 
6.2%
s 13
 
6.2%
n 13
 
6.2%
t 9
 
4.3%
c 9
 
4.3%
o 8
 
3.8%
l 8
 
3.8%
i 8
 
3.8%
Other values (31) 62
29.5%

Violation Memo - 22
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:39.638463image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length76
Median length76
Mean length76
Min length76

Characters and Unicode

Total characters76
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowequipment broken in all areas must be replace or repair to proper condition
ValueCountFrequency (%)
equipment 1
 
7.7%
broken 1
 
7.7%
in 1
 
7.7%
all 1
 
7.7%
areas 1
 
7.7%
must 1
 
7.7%
be 1
 
7.7%
replace 1
 
7.7%
or 1
 
7.7%
repair 1
 
7.7%
Other values (3) 3
23.1%
2024-02-15T22:51:40.256022image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
17.1%
e 9
11.8%
r 8
10.5%
o 6
7.9%
a 5
 
6.6%
i 5
 
6.6%
p 5
 
6.6%
n 5
 
6.6%
t 4
 
5.3%
l 3
 
3.9%
Other values (8) 13
17.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 63
82.9%
Space Separator 13
 
17.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 9
14.3%
r 8
12.7%
o 6
9.5%
a 5
7.9%
i 5
7.9%
p 5
7.9%
n 5
7.9%
t 4
 
6.3%
l 3
 
4.8%
c 2
 
3.2%
Other values (7) 11
17.5%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 63
82.9%
Common 13
 
17.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 9
14.3%
r 8
12.7%
o 6
9.5%
a 5
7.9%
i 5
7.9%
p 5
7.9%
n 5
7.9%
t 4
 
6.3%
l 3
 
4.8%
c 2
 
3.2%
Other values (7) 11
17.5%
Common
ValueCountFrequency (%)
13
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
17.1%
e 9
11.8%
r 8
10.5%
o 6
7.9%
a 5
 
6.6%
i 5
 
6.6%
p 5
 
6.6%
n 5
 
6.6%
t 4
 
5.3%
l 3
 
3.9%
Other values (8) 13
17.1%

Violation Description - 23
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:40.565877image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length67
Median length67
Mean length67
Min length67

Characters and Unicode

Total characters67
Distinct characters22
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row*44 Receptacles prevent debris, insect, rodents, allow for cleaning
ValueCountFrequency (%)
44 1
11.1%
receptacles 1
11.1%
prevent 1
11.1%
debris 1
11.1%
insect 1
11.1%
rodents 1
11.1%
allow 1
11.1%
for 1
11.1%
cleaning 1
11.1%
2024-02-15T22:51:41.106603image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 9
13.4%
8
11.9%
n 5
 
7.5%
r 4
 
6.0%
l 4
 
6.0%
c 4
 
6.0%
t 4
 
6.0%
s 4
 
6.0%
o 3
 
4.5%
a 3
 
4.5%
Other values (12) 19
28.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 52
77.6%
Space Separator 8
 
11.9%
Other Punctuation 4
 
6.0%
Decimal Number 2
 
3.0%
Uppercase Letter 1
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 9
17.3%
n 5
9.6%
r 4
7.7%
l 4
7.7%
c 4
7.7%
t 4
7.7%
s 4
7.7%
o 3
 
5.8%
a 3
 
5.8%
i 3
 
5.8%
Other values (7) 9
17.3%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
* 1
 
25.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Decimal Number
ValueCountFrequency (%)
4 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 53
79.1%
Common 14
 
20.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 9
17.0%
n 5
9.4%
r 4
 
7.5%
l 4
 
7.5%
c 4
 
7.5%
t 4
 
7.5%
s 4
 
7.5%
o 3
 
5.7%
a 3
 
5.7%
i 3
 
5.7%
Other values (8) 10
18.9%
Common
ValueCountFrequency (%)
8
57.1%
, 3
 
21.4%
4 2
 
14.3%
* 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 67
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 9
13.4%
8
11.9%
n 5
 
7.5%
r 4
 
6.0%
l 4
 
6.0%
c 4
 
6.0%
t 4
 
6.0%
s 4
 
6.0%
o 3
 
4.5%
a 3
 
4.5%
Other values (12) 19
28.4%

Violation Points - 23
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row1.0

Common Values

ValueCountFrequency (%)
1.0 1
 
< 0.1%
(Missing) 6707
> 99.9%

Length

2024-02-15T22:51:41.387753image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:41.615111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Punctuation 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Violation Detail - 23
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:41.892223image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length482
Median length482
Mean length482
Min length482

Characters and Unicode

Total characters482
Distinct characters37
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row228.152 Water, Plumbing, and Waste. Refuse, Recyclables, and Returnables, Facilities on the Premises. (f) Outside receptacles. (2) Receptacles and waste handling units for refuse and recyclables such as an on-site compactor shall be installed so that accumulation of debris and insect and rodent attraction and harborage are minimized and effective cleaning is facilitated around and, if the unit is not installed flush with the base pad, under the unit.
ValueCountFrequency (%)
and 9
 
13.0%
the 4
 
5.8%
receptacles 2
 
2.9%
recyclables 2
 
2.9%
unit 2
 
2.9%
installed 2
 
2.9%
is 2
 
2.9%
refuse 2
 
2.9%
waste 2
 
2.9%
insect 1
 
1.4%
Other values (41) 41
59.4%
2024-02-15T22:51:42.517504image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
19.9%
e 44
 
9.1%
a 39
 
8.1%
t 32
 
6.6%
n 31
 
6.4%
i 28
 
5.8%
s 27
 
5.6%
l 20
 
4.1%
d 20
 
4.1%
c 19
 
3.9%
Other values (27) 126
26.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 352
73.0%
Space Separator 96
 
19.9%
Other Punctuation 12
 
2.5%
Uppercase Letter 10
 
2.1%
Decimal Number 7
 
1.5%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 44
12.5%
a 39
11.1%
t 32
9.1%
n 31
8.8%
i 28
 
8.0%
s 27
 
7.7%
l 20
 
5.7%
d 20
 
5.7%
c 19
 
5.4%
r 16
 
4.5%
Other values (12) 76
21.6%
Uppercase Letter
ValueCountFrequency (%)
R 4
40.0%
P 2
20.0%
W 2
20.0%
F 1
 
10.0%
O 1
 
10.0%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
8 1
 
14.3%
5 1
 
14.3%
1 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
. 5
41.7%
Space Separator
ValueCountFrequency (%)
96
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 362
75.1%
Common 120
 
24.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 44
12.2%
a 39
10.8%
t 32
 
8.8%
n 31
 
8.6%
i 28
 
7.7%
s 27
 
7.5%
l 20
 
5.5%
d 20
 
5.5%
c 19
 
5.2%
r 16
 
4.4%
Other values (17) 86
23.8%
Common
ValueCountFrequency (%)
96
80.0%
, 7
 
5.8%
. 5
 
4.2%
2 4
 
3.3%
( 2
 
1.7%
) 2
 
1.7%
8 1
 
0.8%
5 1
 
0.8%
1 1
 
0.8%
- 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 482
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
19.9%
e 44
 
9.1%
a 39
 
8.1%
t 32
 
6.6%
n 31
 
6.4%
i 28
 
5.8%
s 27
 
5.6%
l 20
 
4.1%
d 20
 
4.1%
c 19
 
3.9%
Other values (27) 126
26.1%

Violation Memo - 23
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:42.832344image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters75
Distinct characters20
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowtrash receptacles dirty with out lids must be have lids and properly clean
ValueCountFrequency (%)
lids 2
15.4%
trash 1
7.7%
receptacles 1
7.7%
dirty 1
7.7%
with 1
7.7%
out 1
7.7%
must 1
7.7%
be 1
7.7%
have 1
7.7%
and 1
7.7%
Other values (2) 2
15.4%
2024-02-15T22:51:43.391536image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
17.3%
e 7
 
9.3%
t 6
 
8.0%
l 5
 
6.7%
a 5
 
6.7%
s 5
 
6.7%
r 5
 
6.7%
i 4
 
5.3%
d 4
 
5.3%
p 3
 
4.0%
Other values (10) 18
24.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 62
82.7%
Space Separator 13
 
17.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 7
11.3%
t 6
 
9.7%
l 5
 
8.1%
a 5
 
8.1%
s 5
 
8.1%
r 5
 
8.1%
i 4
 
6.5%
d 4
 
6.5%
p 3
 
4.8%
c 3
 
4.8%
Other values (9) 15
24.2%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 62
82.7%
Common 13
 
17.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 7
11.3%
t 6
 
9.7%
l 5
 
8.1%
a 5
 
8.1%
s 5
 
8.1%
r 5
 
8.1%
i 4
 
6.5%
d 4
 
6.5%
p 3
 
4.8%
c 3
 
4.8%
Other values (9) 15
24.2%
Common
ValueCountFrequency (%)
13
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
17.3%
e 7
 
9.3%
t 6
 
8.0%
l 5
 
6.7%
a 5
 
6.7%
s 5
 
6.7%
r 5
 
6.7%
i 4
 
5.3%
d 4
 
5.3%
p 3
 
4.0%
Other values (10) 18
24.0%

Violation Description - 24
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:43.695482image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length44
Median length44
Mean length44
Min length44

Characters and Unicode

Total characters44
Distinct characters20
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row*43 Ventilation hood-prevent grease dripping
ValueCountFrequency (%)
43 1
20.0%
ventilation 1
20.0%
hood-prevent 1
20.0%
grease 1
20.0%
dripping 1
20.0%
2024-02-15T22:51:44.256975image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 5
11.4%
4
 
9.1%
n 4
 
9.1%
i 4
 
9.1%
t 3
 
6.8%
r 3
 
6.8%
p 3
 
6.8%
o 3
 
6.8%
a 2
 
4.5%
d 2
 
4.5%
Other values (10) 11
25.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 35
79.5%
Space Separator 4
 
9.1%
Decimal Number 2
 
4.5%
Dash Punctuation 1
 
2.3%
Other Punctuation 1
 
2.3%
Uppercase Letter 1
 
2.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 5
14.3%
n 4
11.4%
i 4
11.4%
t 3
8.6%
r 3
8.6%
p 3
8.6%
o 3
8.6%
a 2
 
5.7%
d 2
 
5.7%
g 2
 
5.7%
Other values (4) 4
11.4%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
V 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 36
81.8%
Common 8
 
18.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 5
13.9%
n 4
11.1%
i 4
11.1%
t 3
8.3%
r 3
8.3%
p 3
8.3%
o 3
8.3%
a 2
 
5.6%
d 2
 
5.6%
g 2
 
5.6%
Other values (5) 5
13.9%
Common
ValueCountFrequency (%)
4
50.0%
- 1
 
12.5%
* 1
 
12.5%
4 1
 
12.5%
3 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 5
11.4%
4
 
9.1%
n 4
 
9.1%
i 4
 
9.1%
t 3
 
6.8%
r 3
 
6.8%
p 3
 
6.8%
o 3
 
6.8%
a 2
 
4.5%
d 2
 
4.5%
Other values (10) 11
25.0%

Violation Points - 24
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
1.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row1.0

Common Values

ValueCountFrequency (%)
1.0 1
 
< 0.1%
(Missing) 6707
> 99.9%

Length

2024-02-15T22:51:44.532933image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:44.741748image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Punctuation 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1
33.3%
. 1
33.3%
0 1
33.3%

Violation Detail - 24
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:45.012741image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length434
Median length434
Mean length434
Min length434

Characters and Unicode

Total characters434
Distinct characters39
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row228.106 Equipment, Utensils, and Linens. Functionality of equipment. (a) Ventilation hood systems, drip prevention. Exhaust ventilation hood systems in food preparation and warewashing areas including components such as hoods, fans, guards, and ducting shall be designed to prevent grease or condensation from draining or dripping onto food, equipment, utensils, linens, and single-service and single-use articles.
ValueCountFrequency (%)
and 5
 
9.1%
equipment 3
 
5.5%
or 2
 
3.6%
utensils 2
 
3.6%
linens 2
 
3.6%
ventilation 2
 
3.6%
hood 2
 
3.6%
systems 2
 
3.6%
food 2
 
3.6%
228.106 1
 
1.8%
Other values (32) 32
58.2%
2024-02-15T22:51:45.615225image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
17.1%
n 42
 
9.7%
e 33
 
7.6%
i 31
 
7.1%
s 30
 
6.9%
o 26
 
6.0%
a 24
 
5.5%
t 23
 
5.3%
d 19
 
4.4%
r 16
 
3.7%
Other values (29) 116
26.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 329
75.8%
Space Separator 74
 
17.1%
Other Punctuation 15
 
3.5%
Decimal Number 6
 
1.4%
Uppercase Letter 6
 
1.4%
Dash Punctuation 2
 
0.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 42
12.8%
e 33
10.0%
i 31
9.4%
s 30
9.1%
o 26
 
7.9%
a 24
 
7.3%
t 23
 
7.0%
d 19
 
5.8%
r 16
 
4.9%
l 12
 
3.6%
Other values (13) 73
22.2%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
8 1
16.7%
6 1
16.7%
0 1
16.7%
1 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
F 1
16.7%
L 1
16.7%
V 1
16.7%
U 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 10
66.7%
. 5
33.3%
Space Separator
ValueCountFrequency (%)
74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 335
77.2%
Common 99
 
22.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 42
12.5%
e 33
9.9%
i 31
 
9.3%
s 30
 
9.0%
o 26
 
7.8%
a 24
 
7.2%
t 23
 
6.9%
d 19
 
5.7%
r 16
 
4.8%
l 12
 
3.6%
Other values (18) 79
23.6%
Common
ValueCountFrequency (%)
74
74.7%
, 10
 
10.1%
. 5
 
5.1%
2 2
 
2.0%
- 2
 
2.0%
8 1
 
1.0%
( 1
 
1.0%
) 1
 
1.0%
6 1
 
1.0%
0 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 434
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
17.1%
n 42
 
9.7%
e 33
 
7.6%
i 31
 
7.1%
s 30
 
6.9%
o 26
 
6.0%
a 24
 
5.5%
t 23
 
5.3%
d 19
 
4.4%
r 16
 
3.7%
Other values (29) 116
26.7%

Violation Memo - 24
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:45.938553image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length92
Median length92
Mean length92
Min length92

Characters and Unicode

Total characters92
Distinct characters20
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowvent hood dirty with soils and encrusted grease must be clean to avoid cross contamination
ValueCountFrequency (%)
vent 1
 
6.7%
hood 1
 
6.7%
dirty 1
 
6.7%
with 1
 
6.7%
soils 1
 
6.7%
and 1
 
6.7%
encrusted 1
 
6.7%
grease 1
 
6.7%
must 1
 
6.7%
be 1
 
6.7%
Other values (5) 5
33.3%
2024-02-15T22:51:46.491184image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16
17.4%
t 8
8.7%
o 8
8.7%
s 7
 
7.6%
n 7
 
7.6%
e 7
 
7.6%
i 6
 
6.5%
a 6
 
6.5%
d 5
 
5.4%
c 4
 
4.3%
Other values (10) 18
19.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 76
82.6%
Space Separator 16
 
17.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 8
10.5%
o 8
10.5%
s 7
9.2%
n 7
9.2%
e 7
9.2%
i 6
7.9%
a 6
7.9%
d 5
 
6.6%
c 4
 
5.3%
r 4
 
5.3%
Other values (9) 14
18.4%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 76
82.6%
Common 16
 
17.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 8
10.5%
o 8
10.5%
s 7
9.2%
n 7
9.2%
e 7
9.2%
i 6
7.9%
a 6
7.9%
d 5
 
6.6%
c 4
 
5.3%
r 4
 
5.3%
Other values (9) 14
18.4%
Common
ValueCountFrequency (%)
16
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16
17.4%
t 8
8.7%
o 8
8.7%
s 7
 
7.6%
n 7
 
7.6%
e 7
 
7.6%
i 6
 
6.5%
a 6
 
6.5%
d 5
 
5.4%
c 4
 
4.3%
Other values (10) 18
19.6%

Violation Description - 25
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:46.790653image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length49
Median length49
Mean length49
Min length49

Characters and Unicode

Total characters49
Distinct characters23
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row*10 Equipment and Utensils Cleaning-contamination
ValueCountFrequency (%)
10 1
20.0%
equipment 1
20.0%
and 1
20.0%
utensils 1
20.0%
cleaning-contamination 1
20.0%
2024-02-15T22:51:47.327906image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 8
16.3%
i 5
 
10.2%
4
 
8.2%
a 4
 
8.2%
t 4
 
8.2%
e 3
 
6.1%
m 2
 
4.1%
l 2
 
4.1%
s 2
 
4.1%
o 2
 
4.1%
Other values (13) 13
26.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 38
77.6%
Space Separator 4
 
8.2%
Uppercase Letter 3
 
6.1%
Decimal Number 2
 
4.1%
Dash Punctuation 1
 
2.0%
Other Punctuation 1
 
2.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 8
21.1%
i 5
13.2%
a 4
10.5%
t 4
10.5%
e 3
 
7.9%
m 2
 
5.3%
l 2
 
5.3%
s 2
 
5.3%
o 2
 
5.3%
p 1
 
2.6%
Other values (5) 5
13.2%
Uppercase Letter
ValueCountFrequency (%)
U 1
33.3%
E 1
33.3%
C 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
0 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
* 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 41
83.7%
Common 8
 
16.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 8
19.5%
i 5
12.2%
a 4
9.8%
t 4
9.8%
e 3
 
7.3%
m 2
 
4.9%
l 2
 
4.9%
s 2
 
4.9%
o 2
 
4.9%
p 1
 
2.4%
Other values (8) 8
19.5%
Common
ValueCountFrequency (%)
4
50.0%
1 1
 
12.5%
0 1
 
12.5%
- 1
 
12.5%
* 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 8
16.3%
i 5
 
10.2%
4
 
8.2%
a 4
 
8.2%
t 4
 
8.2%
e 3
 
6.1%
m 2
 
4.1%
l 2
 
4.1%
s 2
 
4.1%
o 2
 
4.1%
Other values (13) 13
26.5%

Violation Points - 25
Categorical

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
3.0

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row3.0

Common Values

ValueCountFrequency (%)
3.0 1
 
< 0.1%
(Missing) 6707
> 99.9%

Length

2024-02-15T22:51:47.597254image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:47.813344image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
3.0 1
100.0%

Most occurring characters

ValueCountFrequency (%)
3 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2
66.7%
Other Punctuation 1
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1
50.0%
0 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1
33.3%
. 1
33.3%
0 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1
33.3%
. 1
33.3%
0 1
33.3%

Violation Detail - 25
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:48.061471image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length292
Median length292
Mean length292
Min length292

Characters and Unicode

Total characters292
Distinct characters37
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be cleaned: (E) at any time during the operation when contamination may have occurred.
ValueCountFrequency (%)
utensils 3
 
8.6%
and 3
 
8.6%
equipment 3
 
8.6%
food-contact 2
 
5.7%
surfaces 2
 
5.7%
228.114 1
 
2.9%
at 1
 
2.9%
have 1
 
2.9%
may 1
 
2.9%
contamination 1
 
2.9%
Other values (17) 17
48.6%
2024-02-15T22:51:48.634272image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
24.3%
n 24
 
8.2%
e 21
 
7.2%
a 18
 
6.2%
t 16
 
5.5%
i 13
 
4.5%
c 12
 
4.1%
s 12
 
4.1%
o 12
 
4.1%
u 10
 
3.4%
Other values (27) 83
28.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 191
65.4%
Space Separator 71
 
24.3%
Other Punctuation 8
 
2.7%
Uppercase Letter 7
 
2.4%
Decimal Number 7
 
2.4%
Close Punctuation 3
 
1.0%
Open Punctuation 3
 
1.0%
Dash Punctuation 2
 
0.7%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 24
12.6%
e 21
11.0%
a 18
 
9.4%
t 16
 
8.4%
i 13
 
6.8%
c 12
 
6.3%
s 12
 
6.3%
o 12
 
6.3%
u 10
 
5.2%
d 8
 
4.2%
Other values (12) 45
23.6%
Uppercase Letter
ValueCountFrequency (%)
E 4
57.1%
F 1
 
14.3%
L 1
 
14.3%
U 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 2
28.6%
8 1
 
14.3%
4 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
62.5%
, 2
 
25.0%
: 1
 
12.5%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 198
67.8%
Common 94
32.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 24
12.1%
e 21
10.6%
a 18
 
9.1%
t 16
 
8.1%
i 13
 
6.6%
c 12
 
6.1%
s 12
 
6.1%
o 12
 
6.1%
u 10
 
5.1%
d 8
 
4.0%
Other values (16) 52
26.3%
Common
ValueCountFrequency (%)
71
75.5%
. 5
 
5.3%
) 3
 
3.2%
( 3
 
3.2%
1 3
 
3.2%
- 2
 
2.1%
2 2
 
2.1%
, 2
 
2.1%
8 1
 
1.1%
4 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 292
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71
24.3%
n 24
 
8.2%
e 21
 
7.2%
a 18
 
6.2%
t 16
 
5.5%
i 13
 
4.5%
c 12
 
4.1%
s 12
 
4.1%
o 12
 
4.1%
u 10
 
3.4%
Other values (27) 83
28.4%

Violation Memo - 25
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing6707
Missing (%)> 99.9%
Memory size52.5 KiB
2024-02-15T22:51:48.935391image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length32
Median length32
Mean length32
Min length32

Characters and Unicode

Total characters32
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st rowclean and sanitize all equipment
ValueCountFrequency (%)
clean 1
20.0%
and 1
20.0%
sanitize 1
20.0%
all 1
20.0%
equipment 1
20.0%
2024-02-15T22:51:49.526712image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 4
12.5%
a 4
12.5%
n 4
12.5%
4
12.5%
l 3
9.4%
i 3
9.4%
t 2
 
6.2%
c 1
 
3.1%
d 1
 
3.1%
s 1
 
3.1%
Other values (5) 5
15.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 28
87.5%
Space Separator 4
 
12.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 4
14.3%
a 4
14.3%
n 4
14.3%
l 3
10.7%
i 3
10.7%
t 2
7.1%
c 1
 
3.6%
d 1
 
3.6%
s 1
 
3.6%
z 1
 
3.6%
Other values (4) 4
14.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 28
87.5%
Common 4
 
12.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 4
14.3%
a 4
14.3%
n 4
14.3%
l 3
10.7%
i 3
10.7%
t 2
7.1%
c 1
 
3.6%
d 1
 
3.6%
s 1
 
3.6%
z 1
 
3.6%
Other values (4) 4
14.3%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 4
12.5%
a 4
12.5%
n 4
12.5%
4
12.5%
l 3
9.4%
i 3
9.4%
t 2
 
6.2%
c 1
 
3.1%
d 1
 
3.1%
s 1
 
3.1%
Other values (5) 5
15.6%
Distinct85
Distinct (%)1.3%
Missing1
Missing (%)< 0.1%
Memory size52.5 KiB
Minimum2016-10-01 00:00:00
Maximum2023-12-01 00:00:00
2024-02-15T22:51:50.049859image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-15T22:51:50.548654image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Inspection Year
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Memory size52.5 KiB
FY2019
2622 
FY2020
1961 
FY2021
1293 
FY2022
357 
FY2018
 
207
Other values (3)
267 

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters40242
Distinct characters10
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowFY2020
2nd rowFY2020
3rd rowFY2020
4th rowFY2020
5th rowFY2017

Common Values

ValueCountFrequency (%)
FY2019 2622
39.1%
FY2020 1961
29.2%
FY2021 1293
19.3%
FY2022 357
 
5.3%
FY2018 207
 
3.1%
FY2017 171
 
2.5%
FY2023 86
 
1.3%
FY2024 10
 
0.1%
(Missing) 1
 
< 0.1%

Length

2024-02-15T22:51:50.974694image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-15T22:51:51.452225image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
fy2019 2622
39.1%
fy2020 1961
29.2%
fy2021 1293
19.3%
fy2022 357
 
5.3%
fy2018 207
 
3.1%
fy2017 171
 
2.5%
fy2023 86
 
1.3%
fy2024 10
 
0.1%

Most occurring characters

ValueCountFrequency (%)
2 10771
26.8%
0 8668
21.5%
F 6707
16.7%
Y 6707
16.7%
1 4293
 
10.7%
9 2622
 
6.5%
8 207
 
0.5%
7 171
 
0.4%
3 86
 
0.2%
4 10
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26828
66.7%
Uppercase Letter 13414
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 10771
40.1%
0 8668
32.3%
1 4293
 
16.0%
9 2622
 
9.8%
8 207
 
0.8%
7 171
 
0.6%
3 86
 
0.3%
4 10
 
< 0.1%
Uppercase Letter
ValueCountFrequency (%)
F 6707
50.0%
Y 6707
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26828
66.7%
Latin 13414
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 10771
40.1%
0 8668
32.3%
1 4293
 
16.0%
9 2622
 
9.8%
8 207
 
0.8%
7 171
 
0.6%
3 86
 
0.3%
4 10
 
< 0.1%
Latin
ValueCountFrequency (%)
F 6707
50.0%
Y 6707
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 40242
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 10771
26.8%
0 8668
21.5%
F 6707
16.7%
Y 6707
16.7%
1 4293
 
10.7%
9 2622
 
6.5%
8 207
 
0.5%
7 171
 
0.4%
3 86
 
0.2%
4 10
 
< 0.1%
Distinct4108
Distinct (%)61.2%
Missing1
Missing (%)< 0.1%
Memory size52.5 KiB
2024-02-15T22:51:52.173645image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Length

Max length61
Median length54
Mean length41.581035
Min length11

Characters and Unicode

Total characters278884
Distinct characters46
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2693 ?
Unique (%)40.2%

Sample

1st row3203 W CAMP WISDOM RD (32.662584, -96.873446)
2nd row2380 N FIELD ST (32.78904, -96.806882)
3rd row9271 WHITE ROCK TRL (32.872855, -96.728807)
4th row10295 FERGUSON RD (32.83427, -96.673672)
5th row1474 ANNEX AVE (32.80208, -96.7769)
ValueCountFrequency (%)
rd 1595
 
4.1%
ave 1179
 
3.0%
st 1059
 
2.7%
ln 804
 
2.1%
n 714
 
1.8%
w 611
 
1.6%
blvd 545
 
1.4%
s 542
 
1.4%
dr 457
 
1.2%
e 343
 
0.9%
Other values (9839) 31112
79.9%
2024-02-15T22:51:53.634491image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25834
 
9.3%
2 16321
 
5.9%
9 15907
 
5.7%
3 15865
 
5.7%
6 15160
 
5.4%
8 14150
 
5.1%
1 13824
 
5.0%
. 12852
 
4.6%
7 12418
 
4.5%
0 12397
 
4.4%
Other values (36) 124156
44.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 134688
48.3%
Uppercase Letter 71256
25.6%
Space Separator 25834
 
9.3%
Other Punctuation 21366
 
7.7%
Dash Punctuation 6474
 
2.3%
Close Punctuation 6423
 
2.3%
Open Punctuation 6423
 
2.3%
Control 6420
 
2.3%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 7020
 
9.9%
R 6835
 
9.6%
L 5882
 
8.3%
N 5731
 
8.0%
A 5565
 
7.8%
S 4683
 
6.6%
T 4376
 
6.1%
D 4077
 
5.7%
O 3555
 
5.0%
I 2857
 
4.0%
Other values (15) 20675
29.0%
Decimal Number
ValueCountFrequency (%)
2 16321
12.1%
9 15907
11.8%
3 15865
11.8%
6 15160
11.3%
8 14150
10.5%
1 13824
10.3%
7 12418
9.2%
0 12397
9.2%
5 9505
7.1%
4 9141
6.8%
Other Punctuation
ValueCountFrequency (%)
. 12852
60.2%
, 6420
30.0%
# 2083
 
9.7%
/ 7
 
< 0.1%
' 3
 
< 0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
25834
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6474
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6423
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6423
100.0%
Control
ValueCountFrequency (%)
6420
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 207628
74.4%
Latin 71256
 
25.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 7020
 
9.9%
R 6835
 
9.6%
L 5882
 
8.3%
N 5731
 
8.0%
A 5565
 
7.8%
S 4683
 
6.6%
T 4376
 
6.1%
D 4077
 
5.7%
O 3555
 
5.0%
I 2857
 
4.0%
Other values (15) 20675
29.0%
Common
ValueCountFrequency (%)
25834
12.4%
2 16321
 
7.9%
9 15907
 
7.7%
3 15865
 
7.6%
6 15160
 
7.3%
8 14150
 
6.8%
1 13824
 
6.7%
. 12852
 
6.2%
7 12418
 
6.0%
0 12397
 
6.0%
Other values (11) 52900
25.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 278884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25834
 
9.3%
2 16321
 
5.9%
9 15907
 
5.7%
3 15865
 
5.7%
6 15160
 
5.4%
8 14150
 
5.1%
1 13824
 
5.0%
. 12852
 
4.6%
7 12418
 
4.5%
0 12397
 
4.4%
Other values (36) 124156
44.5%

Interactions

2024-02-15T22:49:11.889236image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-15T22:49:11.382084image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-15T22:49:12.176110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-15T22:49:11.637674image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-02-15T22:51:54.121540image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Inspection ScoreInspection TypeInspection YearStreet DirectionStreet NumberStreet TypeViolation Points - 1Violation Points - 10Violation Points - 11Violation Points - 12Violation Points - 13Violation Points - 14Violation Points - 15Violation Points - 16Violation Points - 17Violation Points - 18Violation Points - 19Violation Points - 2Violation Points - 20Violation Points - 21Violation Points - 3Violation Points - 4Violation Points - 5Violation Points - 6Violation Points - 7Violation Points - 8Violation Points - 9
Inspection Score1.0000.1200.0890.0190.0430.0310.1130.1010.1420.0500.0000.0980.0000.1290.0000.0000.0000.1740.8161.0000.1850.1850.1540.1250.1170.0790.076
Inspection Type0.1201.0000.0240.019-0.0360.0080.0000.0420.0700.1220.0340.0000.1910.0000.2470.0000.0000.0000.0001.0000.0120.0440.0000.0000.0180.0000.010
Inspection Year0.0890.0241.0000.0610.0690.0530.0090.0000.0000.0000.0580.0000.0910.0000.1500.0000.6670.0340.3331.0000.0000.0340.0290.0330.0480.0280.022
Street Direction0.0190.0190.0611.000-0.1970.4780.0130.0000.0000.0000.0000.2640.3460.0000.5770.0000.0000.0281.0000.0000.0530.0830.0490.0700.0540.0000.000
Street Number0.043-0.0360.069-0.1971.0000.2480.0500.0200.0000.0460.0000.0000.1770.0000.0000.0000.0000.0570.8161.0000.0430.0300.0000.0000.0000.0000.000
Street Type0.0310.0080.0530.4780.2481.0000.0580.0000.0630.1420.0000.2020.0380.0000.1740.2560.0000.0600.0001.0000.0430.0560.0470.0520.0380.0770.084
Violation Points - 10.1130.0000.0090.0130.0500.0581.0000.1630.1200.1610.2440.0000.1880.2520.2300.2770.0000.1210.0001.0000.0830.0540.0880.1430.1460.1470.154
Violation Points - 100.1010.0420.0000.0000.0200.0000.1631.0000.0850.1010.1570.0000.1490.0000.0000.0000.3650.1370.0001.0000.0800.1470.0800.0410.0710.0690.049
Violation Points - 110.1420.0700.0000.0000.0000.0630.1200.0851.0000.0660.0600.0000.0940.0000.0000.0000.0000.1560.0001.0000.1260.1290.0360.0710.0440.0800.103
Violation Points - 120.0500.1220.0000.0000.0460.1420.1610.1010.0661.0000.0680.0910.1960.0000.0000.0000.0830.1230.0001.0000.1440.1370.1100.1080.1220.0000.000
Violation Points - 130.0000.0340.0580.0000.0000.0000.2440.1570.0600.0681.0000.0000.1260.1200.0000.0000.0000.1010.0001.0000.1480.2110.0000.1900.0000.0400.151
Violation Points - 140.0980.0000.0000.2640.0000.2020.0000.0000.0000.0910.0001.0000.0730.0000.4300.0000.0000.1170.0001.0000.2170.0000.1670.0850.2490.0000.074
Violation Points - 150.0000.1910.0910.3460.1770.0380.1880.1490.0940.1960.1260.0731.0000.0920.0000.0000.0000.0000.0001.0000.1350.1180.1430.1330.0000.2420.000
Violation Points - 160.1290.0000.0000.0000.0000.0000.2520.0000.0000.0000.1200.0000.0921.0000.0000.0000.3230.0000.5001.0000.0000.0000.0000.0580.1430.2290.000
Violation Points - 170.0000.2470.1500.5770.0000.1740.2300.0000.0000.0000.0000.4300.0000.0001.0000.1520.0000.0000.0001.0000.0000.3780.3350.0000.1720.2520.000
Violation Points - 180.0000.0000.0000.0000.0000.2560.2770.0000.0000.0000.0000.0000.0000.0000.1521.0000.0000.0000.0001.0000.1460.0000.0000.4540.0000.3650.351
Violation Points - 190.0000.0000.6670.0000.0000.0000.0000.3650.0000.0830.0000.0000.0000.3230.0000.0001.0000.6670.3331.0000.3230.2360.6670.0000.0000.6060.000
Violation Points - 20.1740.0000.0340.0280.0570.0600.1210.1370.1560.1230.1010.1170.0000.0000.0000.0000.6671.0000.0001.0000.1190.0810.1130.1040.0990.1120.169
Violation Points - 200.8160.0000.3331.0000.8160.0000.0000.0000.0000.0000.0000.0000.0000.5000.0000.0000.3330.0001.0001.0000.0000.0000.0000.0000.8160.0000.000
Violation Points - 211.0001.0001.0000.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Violation Points - 30.1850.0120.0000.0530.0430.0430.0830.0800.1260.1440.1480.2170.1350.0000.0000.1460.3230.1190.0001.0001.0000.1090.0950.1090.0720.0860.092
Violation Points - 40.1850.0440.0340.0830.0300.0560.0540.1470.1290.1370.2110.0000.1180.0000.3780.0000.2360.0810.0001.0000.1091.0000.0820.0920.0880.0760.110
Violation Points - 50.1540.0000.0290.0490.0000.0470.0880.0800.0360.1100.0000.1670.1430.0000.3350.0000.6670.1130.0001.0000.0950.0821.0000.1220.0900.0940.100
Violation Points - 60.1250.0000.0330.0700.0000.0520.1430.0410.0710.1080.1900.0850.1330.0580.0000.4540.0000.1040.0001.0000.1090.0920.1221.0000.0970.0200.000
Violation Points - 70.1170.0180.0480.0540.0000.0380.1460.0710.0440.1220.0000.2490.0000.1430.1720.0000.0000.0990.8161.0000.0720.0880.0900.0971.0000.0740.058
Violation Points - 80.0790.0000.0280.0000.0000.0770.1470.0690.0800.0000.0400.0000.2420.2290.2520.3650.6060.1120.0001.0000.0860.0760.0940.0200.0741.0000.103
Violation Points - 90.0760.0100.0220.0000.0000.0840.1540.0490.1030.0000.1510.0740.0000.0000.0000.3510.0000.1690.0001.0000.0920.1100.1000.0000.0580.1031.000

Missing values

2024-02-15T22:49:13.062325image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-15T22:49:14.323982image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-02-15T22:49:19.868011image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
0MICKLE CHICKENRoutine10/30/20191003203CAMP WISDOMWRDNaN3203 W CAMP WISDOM RD75237NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNOct 2019FY20203203 W CAMP WISDOM RD\n(32.662584, -96.873446)
1TOM THUMB - JUICE BARRoutine04/08/20201002380FIELDNSTNaN2380 N FIELD ST75021NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2020FY20202380 N FIELD ST\n(32.78904, -96.806882)
2BROOKDALE WHITE ROCKRoutine07/29/2020979271WHITE ROCKNaNTRLNaN9271 WHITE ROCK TRL75238*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.register with the City of Dallas: 7901 Goforth Rd Dallas, TX 75238 214-670-8083*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.dust accumulation on the fan covers inside the walk in coolerNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2020FY20209271 WHITE ROCK TRL\n(32.872855, -96.728807)
3CHURCH'S CHICKEN #201Routine09/14/202010010295FERGUSONNaNRDNaN10295 FERGUSON RD75228NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNSep 2020FY202010295 FERGUSON RD\n(32.83427, -96.673672)
4PEAK PREPARATORY-PRIMARY SCHOOLRoutine04/25/2017981474ANNEXNaNAVENaN1474 ANNEX AVE75204*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2017FY20171474 ANNEX AVE\n(32.80208, -96.7769)
5SAMS CLUB #6482 - DEMO ROOMRoutine04/05/20211005555BUCKNERSBLVDNaN5555 S BUCKNER BLVD75227NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20215555 S BUCKNER BLVD\n(32.793368, -96.685021)
6AMC THEATRES NORTHPARK 15 (BAR)Routine04/09/20211008687CENTRALNEXPW#30008687 N CENTRAL EXPW #300075225NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNApr 2021FY20218687 N CENTRAL EXPW #3000\n(32.869358, -96.770707)
7SAM'S CLUB #8282 - DEMO ROOMRoutine11/14/20211002900WHEATLANDWRDNaN2900 W WHEATLAND RD75237NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNov 2021FY20222900 W WHEATLAND RD\n(32.647455, -96.866883)
8UCHI DALLASRoutine03/11/2020982817MAPLENaNAVE#1102817 MAPLE AVE #11075201*32 Equipment & Utensils smooth easily cleanable2.0228.101 Equipment, Utensils, and Linens. Multiuse materials. (a) Characteristics. Materials that are used in the construction of utensils and food-contact surfaces of equipment may not allow the migration of deleterious substances or impart colors, odors, or tastes to food and under normal use conditions shall be: (4) finished to have a smooth, easily cleanable surface; andyou can not store utensils or food on clothNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2020FY20202817 MAPLE AVE #110\n(40.501132, -78.416087)
9UNREFINED BAKERYRoutine03/23/20201002222MCKINNEYNaNAVE#1802222 MCKINNEY AVE #18075201NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMar 2020FY20202222 MCKINNEY AVE #180\n(32.793312, -96.80271)
Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location
6698ONE NOSTALGIA PLACERoutine05/22/20201006521ABRAMSNaNRDNaN6521 ABRAMS RD75231NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNMay 2020FY20206521 ABRAMS RD\n(32.863574, -96.744216)
6699TAQUERIA LOS ARCOS DE JALRoutine07/14/2020836300SAMUELLNaNBLVD#1586300 SAMUELL BLVD #15875228*28 Date marking > 24 hrs,on site,temp 41F2.0228.75 Food. Time and temperature control. (g) Ready-to-eat, TCS food, date marking. (2) Except as specified in paragraphs (5) - (7) of this subsection, refrigerated, ready-to-eat, time/temperature controlled for safety food prepared and packaged by a food processing plant shall be clearly marked, at the time the original container is opened in a food establishment and held at a temperature of 41 degrees Fahrenheit (5 degrees Celsius) or less if the food is held for more than 24 hours, to indicate the date or day by which the food shall be consumed on the premises, sold, or discarded, based on the temperature and time combinations specified in paragraph (1) of this subsection: (A) the day the original container is opened in the food establishment shall be counted as day 1; andclearly date mark TCS food for 7 days only*33 Rinsing procedures - 3 compartment sink2.0228.115 Equipment, Utensils, and Linens. Methods of cleaning. (f) Rinsing procedures. Washed utensils and equipment shall be rinsed so that abrasives are removed and cleaning chemicals are removed or diluted through the use of water or a detergent-sanitizer solution by using one of the following procedures: (1) use of a distinct, separate water rinse after washing and before sanitizing if using: (A) a three-compartment sink;set up 3 com sink wash rinse sanitize air dry*43 Light bulbs, light shields provided1.0228.174 Physical Facilities. Functionality. (a) Light bulbs, protective shielding. (1) Except as specified in paragraph (2) of this subsection, light bulbs shall be shielded, coated, or otherwise shatter-resistant in areas where there is exposed food; clean equipment, utensils, and linens; or unwrapped single-service and single-use articles.provide light shield in reach in cooler*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean coolers, freezers, gaskets, fans in wic, shelves*03 Food products not maintained at 135øF or above3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);chicken 117, sour cream 126 degrees f*09 Food protected cross contamination arrange each type food in equipment so cross is prevented3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; andobserved raw chicken stored above cooked soup*18 Toxic items labeling-non original container3.0228.202 Poisonous or Toxic Materials. Working containers, common name. Working containers used for storing poisonous or toxic materials such as cleaners and sanitizers taken from bulk supplies shall be clearly and individually identified with the common name of the material.provide label for chemical spray bottles, sanitizer bucket*41 Food storage containers, identified with common name of food.1.0228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.provide label for food storage containers/squeeze bottles*47 Handwashing signage1.0228.175 Physical Facilities. Handwashing Sinks. (e) Handwashing signage. A sign or poster that notifies food employees to wash their hands shall be provided at all handwashing sinks used by food employees and shall be clearly visible to food employees.provide hand washing signNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2020FY20206300 SAMUELL BLVD #158\n(32.792348, -96.696916)
6700LUNA GRILLRoutine07/22/2020958165WALNUT HILLNaNLNNaN8165 WALNUT HILL LN75231*32 Maintain in Good Repair2.0228.223 REQUIREMENTS APPLICABLE TO CERTAIN ESTABLISHMENTS Bed and Breakfast . (h) Equipment and utensil design and construction. All equipment and utensils shall be constructed of safe materials and maintained in good repair.CARDBOARD TAPED OVER AND COVERING DISHWASHER VENT HOOD*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.TRIP TICKET OUT OF DATE - 12/2019NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2020FY20208165 WALNUT HILL LN\n(32.882329, -96.765435)
6701PIZZA PATRON #0002Routine07/24/2020962627JEFFERSONWBLVD#2172627 W JEFFERSON BLVD #21775211*43 Clean vent syst:Intake/exhaust air ducts1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (d) Cleaning ventilation systems, nuisance and discharge prohibition. (1) Intake and exhaust air ducts shall be cleaned and filters changed so they are not a source of contamination by dust, dirt, and other materials.dust on intake vents, clean.*45 Premises shall be maintained in good repair1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (a) Repairing. The physical facilities shall be maintained in good repair.exposed walls next to three comp. sink, missing ceiling tile in back room, REPAIR.*34 Controlling pests. Eliminating harborage conditions1.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to eliminate their presence on the premises by: (4) eliminating harborage conditions.pooling of water in walk in cooler, opened/damaged walls. repair in order to remove harboring conditions.*39 Equipment in good repair and proper adjustment.1.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (a) Good repair and proper adjustment. (1) Equipment shall be maintained in a state of repair and condition that meets the requirements specified in õõ228.101 - 228.106 of this title.walk in cooler has major leak coming from condenser unit, repair.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2020FY20202627 W JEFFERSON BLVD #217\n(32.748052, -96.861536)
6702KU SUSHIRoutine08/05/20208211661PRESTONNaNRD#16011661 PRESTON RD #16075230*10 Food thermometer cleaned before use3.0228.114 Equipment, Utensils, and Linens. Frequency of cleaning. (a) Equipment food-contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be cleaned: (D) before using or storing a food temperature measuring device; andNaN*19 Water & Plumbing in good repair- per code3.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (e) System maintained in good repair. A plumbing system shall be: (1) repaired according to the Plumbing Code; andRepair faucet leak*36 Cloths in-use for wiping between uses stored1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; andNaN*10 Chlorine sanitizer concentration, minimum temp.3.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (n) Manual and mechanical warewashing equipment, chemical sanitization - temperature, pH, concentration, and hardness. A chemical sanitizer used in a sanitizing solution for a manual or mechanical operation at contact times specified in õ228.118(3) of this title shall meet the criteria in õ228.206(a) of this title, shall be used in accordance with the EPA-approved manufacturer's label use instructions, and shall be used as follows: (1) a chlorine solution shall have a minimum temperature based on the concentration and pH of the solution as listed in the following chart: Figure: 25 TAC õ228.111(n)(1)Maintain sanitizer at 50ppm*03 Food products not maintained at 135øF or above3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this sectionin paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (A) at 57 degrees Celsius (135 degrees Fahrenheit) or above, except that roasts cooked to a temperature and for a time specified in õ228.71(a)(2) of this title or reheated as specified in subsection õ228.73(e) of this title may be held at a temperature of 54 degrees Celsius (130 degrees Fahrenheit);NaN*02 Cold Hold (41øF/45øF or below)3.0228.75 Food. Time and temperature control. (f) Time/temperature controlled for safety food, hot and cold holding. (1) Except during preparation, cooking, or cooling, or when time is used as the public health control as specified in subsection (i) of this section, and except as specified in paragraphs (2) and (3) of this subsection, TCS food shall be maintained: (B) at 5 degrees Celsius (41 degrees Fahrenheit) or less;NaN*31 Handwashing lavatory - used for other purpose2.0228.149 Water, Plumbing, and Waste. Plumbing, operation and maintenance. (a) Using a handwashing facility. (2) A handwashing facility may not be used for purposes other than handwashing.Do not use hand sink for cleaning thermometersNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2020FY202011661 PRESTON RD #160\n(32.907606, -96.804251)
6703MANSION MAIN BARRoutine10/09/20191002821TURTLE CREEKNaNBLVDNaN2821 TURTLE CREEK BLVD75219NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNOct 2019FY20202821 TURTLE CREEK BLVD\n(32.803421, -96.806677)
6704DEAN'S CATERINGRoutine07/24/20208813440TINaNBLVD#1A13440 TI BLVD #1A75243*39 Equipment in good repair and proper adjustment.1.0228.111 Equipment, Utensils, and Linens. Equipment, maintenance and operation. (a) Good repair and proper adjustment. (1) Equipment shall be maintained in a state of repair and condition that meets the requirements specified in õõ228.101 - 228.106 of this title.Repair damaged coolers*21 RFSM - Not On Site2.0Sec. 17-2.2(c)(1)(D) (c) Registered food service managers. (1) Registered food service managers required. (D) A food establishment shall have one registered food service manager employed and present in the establishment during all hours of operation, except that a registered food service manager serving multiple food establishments as authorized by Section 17-2.2(c)(1)(C) must only be present in the building in which the food establishment is located during all hours of operation.NaN*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.Clean mold in reach in cooler*42 Ventilation hood systems1.0228.104 Equipment, Utensils, and Linens. Cleanability. (i) Ventilation hood systems, filters. Filters or other grease extracting equipment shall be designed to be readily removable for cleaning and replacement if not designed to be cleaned in place.Replace missing filters*31 Individual, disposable towels2.0228.175 Physical Facilities. Handwashing Sinks. (c) Hand drying provision. Each handwashing lavatory or group of adjacent lavatories shall be provided with: (1) individual, disposable towels;NaN*20 Grease Trap Tickets3.0Ch.19-126.5(c)) A producer shall sign the manifest from the transporter when a load is picked up by the transporter and shall keep a copy of all trip tickets at the producer#s business office for three years. The director may inspect these records at any reasonable time.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2020FY202013440 TI BLVD #1A\n(32.930767, -96.748771)
6705MOT HAI BARoutine08/12/202092665HIGH MARKETNaNSTNaN665 HIGH MARKET ST75219*32 Equipment and Utensils Durability and Strength2.0228.103 Equipment, Utensils, and Linens. Durability and strength. (a) Equipment and utensils. Equipment and utensils shall be designed and constructed to be durable and to retain their characteristic qualities under normal use conditions.door gaskets need to be replaced, falling off of the door chipped bowl on cook line needs to be discarded*25 Controlling pests. The presence of insects, rodents, and other pests shall be controlled to elim2.0228.186 Physical Facilities. Premises, buildings, systems, rooms, fixtures, equipment, devices, and materials. (k) Controlling pests. The presence of insects, rodents, and other pests shall be controlled to eliminate their presence on the premises by: (3) using methods, if pests are found, such as trapping devices or other means of pest control as specified in õ228.204(b) and õ228.208(b) and (c) of this title; andGNATS AND FRUIT FLIES IN THEBAR AREA, SPOKE WITH HEAD CHEF ON 08/11 STATED THAT THEY HAVE NOT UTILIZED PEST CONTROL SERVICES.*21 A establishment shall have written procedures for employees to follow when responding to vomitin2.0228.45 Contamination Events Clean-up of Vomit and Diarrheal Events. A food establishment shall have written procedures for employees to follow when responding to vomiting or diarrheal events that involve the discharge of vomitus or fecal matter onto surfaces in the food establishment the procedures shall address the specific actions employees must take to minimize the spread of contamination and the exposure of employees, consumers, food, and surfaces to vomitus or fecal matter.PROVIDED COPY VIA EMAIL*12 Report Sickness2.0228.35 Management and Personnel. Responsibilities and Reporting Symptoms and Diagnosis. (a) Responsibility of Permit Holder, Person in Charge, and Conditional Employees. The permit holder shall require food employees and conditional employees to report to the person in charge, information about their health and activities as they relate to diseases that are transmissible through food. A food employee or conditional employee shall report the information in a manner that allows the person in charge to reduce the risk of foodborne disease transmission, such as the date of onset of symptoms and an illness, or of a diagnosis if the food employee or conditional employeePROVIDED A COPY VIA EMAILNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNAug 2020FY2020665 HIGH MARKET ST\n(40.265813, -80.986542)
6706JADE CHINESE BUFFETRoutine07/29/20208010325LAKE JUNENaNRD#68910325 LAKE JUNE RD #68975217*36 Cloths in-use for wiping between uses stored1.0228.68 Food. Preventing Contamination From Equipment, Utensils, and Linens. (d) Wiping cloths, use limitation. (2) cloths in-use for wiping counters and other equipment surfaces shall be: (A) held between uses in a chemical sanitizer solution at a concentration specified in õ228.111(n) of this title; andstore wet cloths in sanitizer bucket*37 Storing the food at least 15 cm (6 inches) above the floor1.0228.69 Food. Preventing contamination from the premises. (a) Food Storage. (1) Except as specified in paragraphs (2) and (3) of this subsection, food shall be protected from contamination by storing the food: (C) at least 15 centimeters (6 inches) above the floor.store food 6 inches off the floor*47 Health permit posted1.0SEC. 17-10.2. ADDITIONAL REQUIREMENTS. (c) Permits. (11) Display. A food establishment that operates from a fixed facility shall display its permit in a frame with a glass cover at a prominent place inside the facility where it can be easily seen by the public.NaN*34 Outer openings:closing holes, gaps1.0228.174 Physical Facilities. Functionality. (e) Outer openings, protected. (1) Except as specified in paragraphs (2) - (5) of this subsection, outer openings of a food establishment shall be protected against the entry of insects and rodents by: (A) filling or closing holes and other gaps along floors, walls and ceilings;repair gap at exit back door*18 Toxic items labeling-non original container3.0228.202 Poisonous or Toxic Materials. Working containers, common name. Working containers used for storing poisonous or toxic materials such as cleaners and sanitizers taken from bulk supplies shall be clearly and individually identified with the common name of the material.provide label for chemical spray bottles*35 Hair Restraints effective1.0228.43 Management and Personnel. Hair restraints. (a) Except as provided in subsection (b) of this section, food employees shall wear hair restraints such as hats, hair coverings or nets, beard restraints, and clothing that covers body hair, that are designed and worn to effectively keep their hair from contacting exposed food; clean equipment, utensils, and linens; and unwrapped single-service and single-use articles.employees need to cover hair*09 Food protected cross contamination arrange each type food in equipment so cross is prevented3.0228.66 Food. Preventing food and ingredient contamination. (a) Packaged and unpackaged food - separation, packaging, and segregation. (1) Food shall be protected from cross contamination by: (B) except when combined as ingredients, separating types of raw animal foods from each other such as beef, fish, lamb, pork, and poultry during storage, preparation, holding, and display by: (ii) arranging each type of food in equipment so that cross contamination of one type with another is prevented; andobserved raw food products stored above rte food in walk in cooler*39 Store equipment & utensils in a clean, dry place1.0228.124 Equipment, Utensils, and Linens. Storage. (a) Equipment, utensils, linens, and single-service and single-use articles. (1) Except as specified in paragraph (4) of this subsection, cleaned equipment and utensils, laundered linens, and single-service and single-use articles shall be stored: (A) in a clean, dry location;knifes stored between coolers*41 Food storage containers, identified with common name of food.1.0228.66 Food. Preventing food and ingredient contamination. (b) Food storage containers, identified with common name of food. Except for containers holding food that can be readily and unmistakably recognized such as dry pasta, working containers holding food or food ingredients that are removed from their original packages for use in the food establishment, such as cooking oils, flour, herbs, potato flakes, salt, spices, and sugar shall be identified with the common name of the food.provide label for food storage containers*42 Dirty nonfood contact surfaces1.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. (3) Nonfood-contact surfaces of equipment shall be kept free of an accumulation of dust, dirt, food residue, and other debris.clean coolers, gaskets, fans in walk in cooler,*38 Thawing. under running water criteria (70 degrees Fahrenheit) or below;1.0228.75 Food. Time and temperature control. (c) Thawing. Except as specified in paragraph (4) of this subsection, TCS food shall be thawed: (2) completely submerged under running water: (A) at a water temperature of 21 degrees Celsius (70 degrees Fahrenheit) or below;thawing process-not standing water*29 Sanitizing solutions, testing devices2.0228.108 Equipment, Utensils, and Linens. Utensils, temperature measuring devices, and testing devices. (e) Sanitizing solutions, testing device. A test kit or other device that accurately measures the concentration in mg/L of sanitizing solutions shall be provided.provide sanitizer test strips*10 Clean Sight and Touch3.0228.113 Equipment, Utensils, and Linens. Cleaning of equipment and utensils. Equipment, food-contact surfaces, non-food contact surfaces and utensils. (1) Equipment food-contact surfaces and utensils shall be clean to sight and touch.clean ice machine, clean food contact containersNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJul 2020FY202010325 LAKE JUNE RD #689\n(32.73414, -96.646616)
6707HYATT HOUSE DALLAS/ LINCOLN PARKRoutine07/10/2020888221CENTRALNEXPWNaN8221 N CENTRAL EXPW75225*18 Toxic items storage adjacent to food/utensils3.0228.203 Poisonous or Toxic Materials. Storage, separation. Poisonous or toxic materials shall be stored so they cannot contaminate food, equipment, utensils, linens, and single-service and single-use articles by: (1) separating the poisonous or toxic materials by spacing or partitioning; andNaN*19 One Inch Air Gap3.0228.146 Water, Plumbing, and Waste. Plumbing design, construction, and installation. (c) Backflow prevention, air gap. An air gap between the water supply inlet and the flood level rim of the plumbing fixture, equipment, or nonfood equipment shall be at least twice the diameter of the water supply inlet and may not be less than 25 mm (1 inch).NaN*31 Individual, disposable towels2.0228.175 Physical Facilities. Handwashing Sinks.NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN

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Restaurant NameInspection TypeInspection DateInspection ScoreStreet NumberStreet NameStreet DirectionStreet TypeStreet UnitStreet AddressZip CodeViolation Description - 1Violation Points - 1Violation Detail - 1Violation Memo - 1Violation Description - 2Violation Points - 2Violation Detail - 2Violation Memo - 2Violation Description - 3Violation Points - 3Violation Detail - 3Violation Memo - 3Violation Description - 4Violation Points - 4Violation Detail - 4Violation Memo - 4Violation Description - 5Violation Points - 5Violation Detail - 5Violation Memo - 5Violation Description - 6Violation Points - 6Violation Detail - 6Violation Memo - 6Violation Description - 7Violation Points - 7Violation Detail - 7Violation Memo - 7Violation Description - 8Violation Points - 8Violation Detail - 8Violation Memo - 8Violation Description - 9Violation Points - 9Violation Detail - 9Violation Memo - 9Violation Description - 10Violation Points - 10Violation Detail - 10Violation Memo - 10Violation Description - 11Violation Points - 11Violation Detail - 11Violation Memo - 11Violation Description - 12Violation Points - 12Violation Detail - 12Violation Memo - 12Violation Description - 13Violation Points - 13Violation Detail - 13Violation Memo - 13Violation Description - 14Violation Points - 14Violation Detail - 14Violation Memo - 14Violation Description - 15Violation Points - 15Violation Detail - 15Violation Memo - 15Violation Description - 16Violation Points - 16Violation Detail - 16Violation Memo - 16Violation Description - 17Violation Points - 17Violation Detail - 17Violation Memo - 17Violation Description - 18Violation Points - 18Violation Detail - 18Violation Memo - 18Violation Description - 19Violation Points - 19Violation Detail - 19Violation Memo - 19Violation Description - 20Violation Points - 20Violation Detail - 20Violation Memo - 20Violation Description - 21Violation Points - 21Violation Detail - 21Violation Memo - 21Violation Description - 22Violation Points - 22Violation Detail - 22Violation Memo - 22Violation Description - 23Violation Points - 23Violation Detail - 23Violation Memo - 23Violation Description - 24Violation Points - 24Violation Detail - 24Violation Memo - 24Violation Description - 25Violation Points - 25Violation Detail - 25Violation Memo - 25Inspection MonthInspection YearLat Long Location# duplicates
0WALMART #5889Routine06/11/20191009410WEBB CHAPELNaNRDNaN9410 WEBB CHAPEL RD75220NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNJun 2019FY20199410 WEBB CHAPEL RD\n(32.861059, -96.857995)2